Statistics on most cited papers in recent years of each conferences
| title | authors | venue | year | citation | |
|---|---|---|---|---|---|
| 0 | Joint Semantic Synthesis and Morphological Analysis of the Derived Word | Ryan Cotterell; Hinrich Schütze | TACL | 2018 | 10 |
| 1 | Learning Structured Text Representations | Yang Liu; Mirella Lapata | TACL | 2018 | 3 |
| 2 | Representation Learning for Grounded Spatial Reasoning | Michaela Jänner; Karthik Narasimhan; Regina Barzilay | TACL | 2018 | 3 |
| 3 | Conversation Modeling on Reddit Using a Graph-Structured LSTM | Victoria Zayats; Mari Ostendorf | TACL | 2018 | 1 |
| 4 | Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples | Anish Athalye; Nicholas Carlini; David A. Wagner | ArXiv | 2018 | 20 |
| 5 | Coded Caching with Heterogeneous Cache Sizes and Link Qualities: The Two-User Case | Daming Cao; Deyao Zhang; Pengyao Chen; Nan Liu; Wei Kang; Deniz Gündüz | ArXiv | 2018 | 17 |
| 6 | Algebraic Geometric codes on Hirzebruch surfaces | Jade Nardi | ArXiv | 2018 | 15 |
| 7 | Spectral Normalization for Generative Adversarial Networks | Takeru Miyato; Toshiki Kataoka; Masanori Koyama; Yuichi Yoshida | ArXiv | 2018 | 13 |
| 8 | How To Make the Gradients Small Stochastically | Zeyuan Allen-Zhu | ArXiv | 2018 | 12 |
| 9 | Certified Defenses against Adversarial Examples | Aditi Raghunathan; Jacob Steinhardt; Percy Liang | ArXiv | 2018 | 11 |
| 10 | Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation | Mark Sandler; Andrew G. Howard; Menglong Zhu; Andrey Zhmoginov; Liang-Chieh Chen | ArXiv | 2018 | 9 |
| 11 | The Unreasonable Effectiveness of Deep Features as a Perceptual Metric | Richard Zhang; Phillip Isola; Alexei A. Efros; Eli Shechtman; Oliver Wang | ArXiv | 2018 | 9 |
| 12 | Spatially Transformed Adversarial Examples | Chaowei Xiao; Jun-Yan Zhu; Bo Li; Warren He; Mingyan Liu; Dawn Xiaodong Song | ArXiv | 2018 | 7 |
| 13 | Deep Learning: A Critical Appraisal | Gary Marcus | ArXiv | 2018 | 6 |
| 14 | Building Generalizable Agents with a Realistic and Rich 3D Environment | Yi Wu; Yuxin Wu; Georgia Gkioxari; Yuandong Tian | ArXiv | 2018 | 5 |
| 15 | Medical Photoacoustic Beamforming Using Minimum Variance-Based Delay Multiply and Sum | Moein Mozaffarzadeh; Ali Mahloojifar; Mahdi Orooji | ArXiv | 2018 | 5 |
| 16 | Audio Adversarial Examples: Targeted Attacks on Speech-to-Text | Nicholas Carlini; David A. Wagner | ArXiv | 2018 | 5 |
| 17 | Ultra-Reliable and Low-Latency Wireless Communication: Tail, Risk and Scale | Mehdi Bennis; Mérouane Debbah; H. Vincent Poor | ArXiv | 2018 | 5 |
| 18 | Regularized Evolution for Image Classifier Architecture Search | Esteban Real; Alok Aggarwal; Yanping Huang; Quoc V. Le | ArXiv | 2018 | 5 |
| 19 | Computational Higher Type Theory IV: Inductive Types | Evan Cavallo; Robert Harper | ArXiv | 2018 | 5 |
| 20 | Relaxed Conditions for Secrecy in a Role-Based Specification | Jaouhar Fattahi; Mohamed Mejri; Hanane Houmani | ArXiv | 2018 | 5 |
| 21 | Computation of Optimal Control Problems with Terminal Constraint via Variation Evolution | Sheng Zhang; Bo Liao; Fei Liao | ArXiv | 2018 | 5 |
| 22 | Covariant Compositional Networks For Learning Graphs | Risi Kondor; Hy Truong Son; Horace Pan; Brandon Anderson; Shubhendu Trivedi | ArXiv | 2018 | 5 |
| 23 | Deep contextualized word representations | Matthew E. Peters; Mark Neumann; Mohit Iyyer; Matthew Gardner; Christopher Clark; Kenton Lee; Luke S. Zettlemoyer | ArXiv | 2018 | 4 |
| 24 | Capacity Characterization of UAV-Enabled Two-User Broadcast Channel | Qingqing Wu; Jie Xu; Rui Zhang | ArXiv | 2018 | 4 |
| 25 | A Note on the Inception Score | Shane Barratt; Rishi Sharma | ArXiv | 2018 | 4 |
| 26 | Models for energy consumption of data structures and algorithms | Phuong Ha; Vi Ngoc-Nha Tran; Ibrahim Umar; Philippas Tsigas; Anders Gidenstam; Paul Renaud-Goud; Ivan Walulya; Aras Atalar | ArXiv | 2018 | 4 |
| 27 | Scale-free networks are rare | Anna D. Broido; Aaron Clauset | ArXiv | 2018 | 4 |
| 28 | Finding Faster Configurations using FLASH | Vivek Nair; Zhe Yu; Tim Menzies; Norbert Siegmund; Sven Apel | ArXiv | 2018 | 4 |
| 29 | Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn's Algorithm | Pavel Dvurechensky; Alexander Gasnikov; Alexey Kroshnin | ArXiv | 2018 | 4 |
| 30 | Snort Intrusion Detection System with Intel Software Guard Extension (Intel SGX) | Dmitrii Kuvaiskii; Somnath Chakrabarti; Mona Vij | ArXiv | 2018 | 4 |
| 31 | Empowering the Configuration-IP - New PTAS Results for Scheduling with Setups Times | Klaus Jansen; Kim-Manuel Klein; Marten Maack; Malin Rau | ArXiv | 2018 | 3 |
| 32 | Adversarial Spheres | Justin Gilmer; Luke Metz; Fartash Faghri; Samuel S. Schoenholz; Maithra Raghu; Martin Wattenberg; Ian J. Goodfellow | ArXiv | 2018 | 3 |
| 33 | DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text | Jingjing Xu; Xu Sun; Xuancheng Ren; Junyang Lin; Bingzhen Wei; Wei Li | ArXiv | 2018 | 3 |
| 34 | Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec | Jiezhong Qiu; Yuxiao Dong; Hao Ma; Jian Li; Kuansan Wang; Jie Tang | WSDM | 2018 | 5 |
| 35 | Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution | Judea Pearl | WSDM | 2018 | 4 |
| 36 | Streaming Link Prediction on Dynamic Attributed Networks | Jundong Li; Kewei Cheng; Liang Wu; Huan Liu | WSDM | 2018 | 3 |
| 37 | REV2: Fraudulent User Prediction in Rating Platforms | Srijan Kumar; Bryan Hooi; Disha Makhija; Mohit Kumar; Christos Faloutsos; V. S. Subrahmanian | WSDM | 2018 | 2 |
| 38 | Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation | Jooyeon Kim; Behzad Tabibian; Alice Oh; Bernhard Schölkopf; Manuel Gomez-Rodriguez | WSDM | 2018 | 2 |
| 39 | SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction | Hongwei Wang; Fuzheng Zhang; Min Hou; Xing Xie; Minyi Guo; Qi Liu | WSDM | 2018 | 2 |
| 40 | CrossFire: Cross Media Joint Friend and Item Recommendations | Kai Shu; Suhang Wang; Jiliang Tang; Yilin Wang; Huan Liu | WSDM | 2018 | 2 |
| 41 | A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries | Alexandra Olteanu; Emre Kiciman; Carlos Castillo | WSDM | 2018 | 1 |
| 42 | Improving Negative Sampling for Word Representation using Self-embedded Features | Long Chen; Fajie Yuan; Joemon M. Jose; Weinan Zhang | WSDM | 2018 | 1 |
| 43 | Sequential Recommendation with User Memory Networks | Xu Chen; Hongteng Xu; Yongfeng Zhang; Jiaxi Tang; Yixin Cao; Zheng Qin; Hongyuan Zha | WSDM | 2018 | 1 |
| 44 | Peeling Bipartite Networks for Dense Subgraph Discovery | Ahmet Erdem Sariyüce; Ali Pinar | WSDM | 2018 | 1 |
| 45 | Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction | Ziniu Hu; Weiqing Liu; Jiang Bian; Xuanzhe Liu; Tie-Yan Liu | WSDM | 2018 | 1 |
| 46 | Indirect Supervision for Relation Extraction using Question-Answer Pairs | Zeqiu Wu; Xiang Ren; Frank F. Xu; Ji Li; Jiawei Han | WSDM | 2018 | 1 |
| 47 | Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach | Parisa Kaghazgaran; James Caverlee; Anna Cinzia Squicciarini | WSDM | 2018 | 1 |
| 48 | Multi-Dimensional Network Embedding with Hierarchical Structure | Yao Ma; Zhaochun Ren; Ziheng Jiang; Jiliang Tang; Dawei Yin | WSDM | 2018 | 1 |
| 49 | Bayesian Optimization for Optimizing Retrieval Systems | Dan Li; Evangelos Kanoulas | WSDM | 2018 | 1 |
| 50 | Position Bias Estimation for Unbiased Learning to Rank in Personal Search | Xuanhui Wang; Nadav Golbandi; Michael Bendersky; Donald Metzler; Marc Najork | WSDM | 2018 | 1 |
| 51 | Micro Behaviors: A New Perspective in E-commerce Recommender Systems | Meizi Zhou; Zhuoye Ding; Jiliang Tang; Dawei Yin | WSDM | 2018 | 1 |
| 52 | Cognitive Biases in Crowdsourcing | Carsten Eickhoff | WSDM | 2018 | 1 |
| 53 | Can you Trust the Trend?: Discovering Simpson's Paradoxes in Social Data | Nazanin Alipourfard; Peter G. Fennell; Kristina Lerman | WSDM | 2018 | 1 |
| 54 | VISIR: Visual and Semantic Image Label Refinement | Sreyasi Nag Chowdhury; Niket Tandon; Hakan Ferhatosmanoglu; Gerhard Weikum | WSDM | 2018 | 1 |
| 55 | Predicting Multi-step Citywide Passenger Demands Using Attention-based Neural Networks | Xian Zhou; Yanyan Shen; Yanmin Zhu; Linpeng Huang | WSDM | 2018 | 1 |
| 56 | Mining Twitter for Fine-Grained Political Opinion Polarity Classification, Ideology Detection and Sarcasm Detection | Sandeepa Kannangara | WSDM | 2018 | 1 |
| 57 | OpenNMT: Open-Source Toolkit for Neural Machine Translation | Guillaume Klein; Yoon Kim; Yuntian Deng; Jean Senellart; Alexander M. Rush | ACL | 2017 | 72 |
| 58 | Gated-Attention Readers for Text Comprehension | Bhuwan Dhingra; Hanxiao Liu; Zhilin Yang; William W. Cohen; Ruslan Salakhutdinov | ACL | 2017 | 71 |
| 59 | Reading Wikipedia to Answer Open-Domain Questions | Danqi Chen; Adam Fisch; Jason Weston; Antoine Bordes | ACL | 2017 | 59 |
| 60 | Attention-over-Attention Neural Networks for Reading Comprehension | Yiming Cui; Zhipeng Chen; Si Wei; Shijin Wang; Ting Liu; Guoping Hu | ACL | 2017 | 53 |
| 61 | Get To The Point: Summarization with Pointer-Generator Networks | Abigail See; Peter J. Liu; Christopher D. Manning | ACL | 2017 | 42 |
| 62 | Gated Self-Matching Networks for Reading Comprehension and Question Answering | Wenhui Wang; Nan Yang; Furu Wei; Baobao Chang; Ming Zhou | ACL | 2017 | 40 |
| 63 | TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension | Mandar Joshi; Eunsol Choi; Daniel S. Weld; Luke S. Zettlemoyer | ACL | 2017 | 32 |
| 64 | A Convolutional Encoder Model for Neural Machine Translation | Jonas Gehring; Michael Auli; David Grangier; Yann Dauphin | ACL | 2017 | 31 |
| 65 | Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision | Chen Liang; Jonathan Berant; Quoc Le; Kenneth D. Forbus; Ni Lao | ACL | 2017 | 30 |
| 66 | Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning | Jason D. Williams; Kavosh Asadi; Geoffrey Zweig | ACL | 2017 | 26 |
| 67 | Beyond Binary Labels: Political Ideology Prediction of Twitter Users | Daniel Preotiuc-Pietro; Ye Liu; Daniel Hopkins; Lyle H. Ungar | ACL | 2017 | 25 |
| 68 | Enhanced LSTM for Natural Language Inference | Qian Chen; Xiao-Dan Zhu; Zhen-Hua Ling; Si Wei; Hui Jiang; Diana Inkpen | ACL | 2017 | 24 |
| 69 | Context-Dependent Sentiment Analysis in User-Generated Videos | Soujanya Poria; Erik Cambria; Devamanyu Hazarika; Navonil Majumder; Amir Zadeh; Louis-Philippe Morency | ACL | 2017 | 23 |
| 70 | Neural Belief Tracker: Data-Driven Dialogue State Tracking | Nikola Mrksic; Diarmuid Ó Séaghdha; Tsung-Hsien Wen; Blaise Thomson; Steve J. Young | ACL | 2017 | 23 |
| 71 | A Syntactic Neural Model for General-Purpose Code Generation | Pengcheng Yin; Graham Neubig | ACL | 2017 | 22 |
| 72 | Learning to Parse and Translate Improves Neural Machine Translation | Akiko Eriguchi; Yoshimasa Tsuruoka; Kyunghyun Cho | ACL | 2017 | 21 |
| 73 | Doubly-Attentive Decoder for Multi-modal Neural Machine Translation | Iacer Calixto; Qun Liu; Nick Campbell | ACL | 2017 | 20 |
| 74 | Neural AMR: Sequence-to-Sequence Models for Parsing and Generation | Ioannis Konstas; Srinivasan Iyer; Mark Yatskar; Yejin Choi; Luke S. Zettlemoyer | ACL | 2017 | 17 |
| 75 | Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders | Tiancheng Zhao; Ran Zhao; Maxine Eskénazi | ACL | 2017 | 16 |
| 76 | Learning Word-Like Units from Joint Audio-Visual Analysis | David Harwath; James R. Glass | ACL | 2017 | 16 |
| 77 | Towards String-To-Tree Neural Machine Translation | Roee Aharoni; Yoav Goldberg | ACL | 2017 | 15 |
| 78 | Learning to Ask: Neural Question Generation for Reading Comprehension | Xinya Du; Junru Shao; Claire Cardie | ACL | 2017 | 15 |
| 79 | Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access | Bhuwan Dhingra; Lihong Li; Xiujun Li; Jianfeng Gao; Yun-Nung Chen; Faisal Ahmed; Li Deng | ACL | 2017 | 15 |
| 80 | From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood | Kelvin Guu; Panupong Pasupat; Evan Zheran Liu; Percy Liang | ACL | 2017 | 15 |
| 81 | Semi-supervised Multitask Learning for Sequence Labeling | Marek Rei | ACL | 2017 | 14 |
| 82 | Abstract Syntax Networks for Code Generation and Semantic Parsing | Maxim Rabinovich; Mitchell Stern; Dan Klein | ACL | 2017 | 14 |
| 83 | Representations of language in a model of visually grounded speech signal | Grzegorz Chrupala; Lieke Gelderloos; Afra Alishahi | ACL | 2017 | 14 |
| 84 | CANE: Context-Aware Network Embedding for Relation Modeling | Cunchao Tu; Han Liu; Zhiyuan Liu; Maosong Sun | ACL | 2017 | 13 |
| 85 | Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses | Ryan Lowe; Michael Noseworthy; Iulian Serban; Nicolas Angelard-Gontier; Yoshua Bengio; Joelle Pineau | ACL | 2017 | 13 |
| 86 | "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection | William Yang Wang | ACL | 2017 | 12 |
| 87 | Adversarial Learning for Neural Dialogue Generation | Jiwei Li; Will Monroe; Tianlin Shi; Sébastien Jean; Alan Ritter; Daniel Jurafsky | EMNLP | 2017 | 81 |
| 88 | Supervised Learning of Universal Sentence Representations from Natural Language Inference Data | Alexis Conneau; Douwe Kiela; Holger Schwenk; Loïc Barrault; Antoine Bordes | EMNLP | 2017 | 43 |
| 89 | Adversarial Examples for Evaluating Reading Comprehension Systems | Robin Jia; Percy Liang | EMNLP | 2017 | 42 |
| 90 | A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks | Kazuma Hashimoto; Caiming Xiong; Yoshimasa Tsuruoka; Richard Socher | EMNLP | 2017 | 40 |
| 91 | Mapping Instructions and Visual Observations to Actions with Reinforcement Learning | Dipendra Kumar Misra; John Langford; Yoav Artzi | EMNLP | 2017 | 19 |
| 92 | Tensor Fusion Network for Multimodal Sentiment Analysis | Amir Zadeh; Minghai Chen; Soujanya Poria; Erik Cambria; Louis-Philippe Morency | EMNLP | 2017 | 15 |
| 93 | Unsupervised Pretraining for Sequence to Sequence Learning | Prajit Ramachandran; Peter J. Liu; Quoc V. Le | EMNLP | 2017 | 14 |
| 94 | A Hybrid Convolutional Variational Autoencoder for Text Generation | Stanislau Semeniuta; Aliaksei Severyn; Erhardt Barth | EMNLP | 2017 | 14 |
| 95 | Sparse Communication for Distributed Gradient Descent | Alham Fikri Aji; Kenneth Heafield | EMNLP | 2017 | 13 |
| 96 | Structural Embedding of Syntactic Trees for Machine Comprehension | Rui Liu; Junjie Hu; Wei Wei; Zi Yang; Eric Nyberg | EMNLP | 2017 | 13 |
| 97 | Reference-Aware Language Models | Zichao Yang; Phil Blunsom; Chris Dyer; Wang Ling | EMNLP | 2017 | 13 |
| 98 | Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging | Nils Reimers; Iryna Gurevych | EMNLP | 2017 | 13 |
| 99 | RACE: Large-scale ReAding Comprehension Dataset From Examinations | Guokun Lai; Qizhe Xie; Hanxiao Liu; Yiming Yang; Eduard H. Hovy | EMNLP | 2017 | 12 |
| 100 | Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm | Bjarke Felbo; Alan Mislove; Anders Søgaard; Iyad Rahwan; Sune Lehmann | EMNLP | 2017 | 11 |
| 101 | Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog | Satwik Kottur; José M. F. Moura; Stefan Lee; Dhruv Batra | EMNLP | 2017 | 11 |
| 102 | Task-Oriented Query Reformulation with Reinforcement Learning | Rodrigo Nogueira; Kyunghyun Cho | EMNLP | 2017 | 11 |
| 103 | ParlAI: A Dialog Research Software Platform | Alexander H. Miller; Will Feng; Dhruv Batra; Antoine Bordes; Adam Fisch; Jiasen Lu; Devi Parikh; Jason Weston | EMNLP | 2017 | 9 |
| 104 | Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints | Jieyu Zhao; Tianlu Wang; Mark Yatskar; Vicente Ordonez; Kai-Wei Chang | EMNLP | 2017 | 9 |
| 105 | Trainable Greedy Decoding for Neural Machine Translation | Jiatao Gu; Kyunghyun Cho; Victor O. K. Li | EMNLP | 2017 | 9 |
| 106 | Sentence Simplification with Deep Reinforcement Learning | Xingxing Zhang; Mirella Lapata | EMNLP | 2017 | 8 |
| 107 | Exploiting Cross-Sentence Context for Neural Machine Translation | Longyue Wang; Zhaopeng Tu; Andy Way; Qun Liu | EMNLP | 2017 | 8 |
| 108 | Incorporating Global Visual Features into Attention-based Neural Machine Translation | Iacer Calixto; Qun Liu | EMNLP | 2017 | 8 |
| 109 | Translating Phrases in Neural Machine Translation | Xing Wang; Zhaopeng Tu; Deyi Xiong; Min Zhang | EMNLP | 2017 | 8 |
| 110 | Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling | Diego Marcheggiani; Ivan Titov | EMNLP | 2017 | 8 |
| 111 | Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search | Leonard Dahlmann; Evgeny Matusov; Pavel Petrushkov; Shahram Khadivi | EMNLP | 2017 | 8 |
| 112 | Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models | Yuanlong Shao; Stephan Gouws; Denny Britz; Anna Goldie; Brian Strope; Ray Kurzweil | EMNLP | 2017 | 7 |
| 113 | Universal Semantic Parsing | Siva Reddy; Oscar Täckström; Slav Petrov; Mark Steedman; Mirella Lapata | EMNLP | 2017 | 7 |
| 114 | Deal or No Deal? End-to-End Learning of Negotiation Dialogues | Mike Lewis; Denis Yarats; Yann Dauphin; Devi Parikh; Dhruv Batra | EMNLP | 2017 | 7 |
| 115 | A Challenge Set Approach to Evaluating Machine Translation | Pierre Isabelle; Colin Cherry; George F. Foster | EMNLP | 2017 | 6 |
| 116 | Refining Word Embeddings for Sentiment Analysis | Liang-Chih Yu; Jin Wang; K. Robert Lai; Xue-Jie Zhang | EMNLP | 2017 | 6 |
| 117 | Bag of Tricks for Efficient Text Classification | Edouard Grave; Tomas Mikolov; Armand Joulin; Piotr Bojanowski | EACL | 2017 | 160 |
| 118 | Nematus: a Toolkit for Neural Machine Translation | Rico Sennrich; Orhan Firat; Kyunghyun Cho; Alexandra Birch; Barry Haddow; Julian Hitschler; Marcin Junczys-Dowmunt; Samuel Läubli; Antonio Valerio Miceli Barone; Jozef Mokry; Maria Nadejde | EACL | 2017 | 87 |
| 119 | A Network-based End-to-End Trainable Task-oriented Dialogue System | Lina Maria Rojas-Barahona; Milica Gasic; Nikola Mrksic; Pei-hao Su; Stefan Ultes; Tsung-Hsien Wen; Steve J. Young; David Vandyke | EACL | 2017 | 69 |
| 120 | Using the Output Embedding to Improve Language Models | Ofir Press; Lior Wolf | EACL | 2017 | 66 |
| 121 | Neural Semantic Encoders | Hong Yu; Tsendsuren Munkhdalai | EACL | 2017 | 33 |
| 122 | Neural Tree Indexers for Text Understanding | Hong Yu; Tsendsuren Munkhdalai | EACL | 2017 | 33 |
| 123 | A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions | Antonio Toral; Víctor M. Sánchez-Cartagena | EACL | 2017 | 21 |
| 124 | Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks | Andrew McCallum; Arvind Neelakantan; Rajarshi Das; David Belanger | EACL | 2017 | 20 |
| 125 | An Incremental Parser for Abstract Meaning Representation | Giorgio Satta; Shay B. Cohen; Marco Damonte | EACL | 2017 | 19 |
| 126 | What Do Recurrent Neural Network Grammars Learn About Syntax? | Noah A. Smith; Chris Dyer; Miguel Ballesteros; Graham Neubig; Lingpeng Kong; Adhiguna Kuncoro | EACL | 2017 | 19 |
| 127 | Very Deep Convolutional Networks for Text Classification | Holger Schwenk; Loïc Barrault; Alexis Conneau; Yann LeCun | EACL | 2017 | 18 |
| 128 | Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison | Roberto Navigli; José Camacho-Collados; Alessandro Raganato | EACL | 2017 | 18 |
| 129 | Dependency Parsing as Head Selection | Mirella Lapata; Xingxing Zhang; Jianpeng Cheng | EACL | 2017 | 15 |
| 130 | Identifying beneficial task relations for multi-task learning in deep neural networks | Anders Søgaard; Joachim Bingel | EACL | 2017 | 14 |
| 131 | Addressing the Data Sparsity Issue in Neural AMR Parsing | Daniel Gildea; Nianwen Xue; Xiaochang Peng; Chuan Wang | EACL | 2017 | 13 |
| 132 | How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs | Rico Sennrich | EACL | 2017 | 13 |
| 133 | Neural Architectures for Fine-grained Entity Type Classification | Kentaro Inui; Sebastian Riedel; Pontus Stenetorp; Sonse Shimaoka | EACL | 2017 | 12 |
| 134 | Multitask Learning for Mental Health Conditions with Limited Social Media Data | Dirk Hovy; Margaret Mitchell; Adrian Benton | EACL | 2017 | 12 |
| 135 | Neural Machine Translation with Recurrent Attention Modeling | Chris Dyer; Zhiting Hu; Alexander J. Smola; Zichao Yang; Yuntian Deng | EACL | 2017 | 12 |
| 136 | A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue | Christopher D. Manning; Mihail Eric | EACL | 2017 | 11 |
| 137 | Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection | Enrico Santus; Vered Shwartz; Dominik Schlechtweg | EACL | 2017 | 11 |
| 138 | Distant Supervision for Relation Extraction beyond the Sentence Boundary | Chris Quirk; Hoifung Poon | EACL | 2017 | 10 |
| 139 | When is multitask learning effective? Semantic sequence prediction under varying data conditions | Barbara Plank; Héctor Martínez Alonso | EACL | 2017 | 10 |
| 140 | Paraphrasing Revisited with Neural Machine Translation | Mirella Lapata; Rico Sennrich; Jonathan Mallinson | EACL | 2017 | 9 |
| 141 | Structural Attention Neural Networks for improved sentiment analysis | Alexandros Potamianos; Filippos Kokkinos | EACL | 2017 | 9 |
| 142 | Gated End-to-End Memory Networks | Fei Liu; Julien Perez | EACL | 2017 | 8 |
| 143 | Latent Variable Dialogue Models and their Diversity | Stephen Clark; Kris Cao | EACL | 2017 | 8 |
| 144 | Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices | Adrià de Gispert; Bill Byrne; Eva Hasler; Felix Stahlberg | EACL | 2017 | 7 |
| 145 | Continuous multilinguality with language vectors | Jörg Tiedemann; Robert Östling | EACL | 2017 | 7 |
| 146 | Towards speech-to-text translation without speech recognition | Sharon Goldwater; Adam Lopez; Sameer Bansal; Herman Kamper | EACL | 2017 | 7 |
| 147 | Enriching Word Vectors with Subword Information | Piotr Bojanowski; Edouard Grave; Armand Joulin; Tomas Mikolov | TACL | 2017 | 238 |
| 148 | Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation | Melvin Johnson; Mike Schuster; Quoc V. Le; Maxim Krikun; Yonghui Wu; Zhifeng Chen; Nikhil Thorat; Fernanda B. Viégas; Martin Wattenberg; Gregory S. Corrado; Macduff Hughes; Jeffrey Dean | TACL | 2017 | 70 |
| 149 | Fully Character-Level Neural Machine Translation without Explicit Segmentation | Jason Lee; Kyunghyun Cho; Thomas Hofmann | TACL | 2017 | 59 |
| 150 | Context Gates for Neural Machine Translation | Zhaopeng Tu; Yang Liu; Zhengdong Lu; Xiaohua Liu; Hang Li | TACL | 2017 | 19 |
| 151 | Cross-Sentence N-ary Relation Extraction with Graph LSTMs | Nanyun Peng; Hoifung Poon; Chris Quirk; Kristina Toutanova; Wen-tau Yih | TACL | 2017 | 12 |
| 152 | Aspect-augmented Adversarial Networks for Domain Adaptation | Yuan Zhang; Regina Barzilay; Tommi S. Jaakkola | TACL | 2017 | 10 |
| 153 | Shift-Reduce Constituent Parsing with Neural Lookahead Features | Jiangming Liu; Yue Zhang | TACL | 2017 | 7 |
| 154 | Overcoming Language Variation in Sentiment Analysis with Social Attention | Yi Yang; Jacob Eisenstein | TACL | 2017 | 6 |
| 155 | Evaluating Visual Representations for Topic Understanding and Their Effects on Manually Generated Labels | Alison Smith; Tak Yeon Lee; Forough Poursabzi-Sangdeh; Jordan L. Boyd-Graber; Niklas Elmqvist; Leah Findlater | TACL | 2017 | 5 |
| 156 | Learning Distributed Representations of Texts and Entities from Knowledge Base | Ikuya Yamada; Hiroyuki Shindo; Hideaki Takeda; Yoshiyasu Takefuji | TACL | 2017 | 4 |
| 157 | Visually Grounded and Textual Semantic Models Differentially Decode Brain Activity Associated with Concrete and Abstract Nouns | Andrew J. Anderson; Douwe Kiela; Stephen Clark; Massimo Poesio | TACL | 2017 | 4 |
| 158 | Pushing the Limits of Translation Quality Estimation | André F. T. Martins; Marcin Junczys-Dowmunt; Fábio Kepler; Ramón Fernández Astudillo; Chris Hokamp; Roman Grundkiewicz | TACL | 2017 | 4 |
| 159 | Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction | Ashutosh Modi; Ivan Titov; Vera Demberg; Asad B. Sayeed; Manfred Pinkal | TACL | 2017 | 4 |
| 160 | Ordinal Common-sense Inference | Sheng Zhang; Rachel Rudinger; Kevin Duh; Benjamin Van Durme | TACL | 2017 | 4 |
| 161 | Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding | Will Monroe; Robert X. D. Hawkins; Noah D. Goodman; Christopher Potts | TACL | 2017 | 3 |
| 162 | In-Order Transition-based Constituent Parsing | Jiangming Liu; Yue Zhang | TACL | 2017 | 3 |
| 163 | Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes | Lu Wang; Nick Beauchamp; Sarah Shugars; Kechen Qin | TACL | 2017 | 3 |
| 164 | Cross-Lingual Syntactic Transfer with Limited Resources | Mohammad Sadegh Rasooli; Michael Collins | TACL | 2017 | 2 |
| 165 | Domain-Targeted, High Precision Knowledge Extraction | Bhavana Dalvi Mishra; Niket Tandon; Peter Clark | TACL | 2017 | 2 |
| 166 | Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints | Nikola Mrksic; Ivan Vulic; Diarmuid Ó Séaghdha; Ira Leviant; Roi Reichart; Milica Gasic; Anna Korhonen; Steve J. Young | TACL | 2017 | 2 |
| 167 | Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling | Gábor Berend | TACL | 2017 | 2 |
| 168 | Unsupervised Learning of Morphological Forests | Jiaming Luo; Karthik Narasimhan; Regina Barzilay | TACL | 2017 | 1 |
| 169 | Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge | Ryan J. Gallagher; Kyle Reing; David C. Kale; Greg Ver Steeg | TACL | 2017 | 1 |
| 170 | Automatically Tagging Constructions of Causation and Their Slot-Fillers | Jesse Dunietz; Lori S. Levin; Jaime G. Carbonell | TACL | 2017 | 1 |
| 171 | A Polynomial-Time Dynamic Programming Algorithm for Phrase-Based Decoding with a Fixed Distortion Limit | Yin-Wen Chang; Michael Collins | TACL | 2017 | 1 |
| 172 | Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning | Christian Szegedy; Sergey Ioffe; Vincent Vanhoucke; Alexander A. Alemi | AAAI | 2017 | 475 |
| 173 | SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient | Lantao Yu; Weinan Zhang; Jun Wang; Yong Yu | AAAI | 2017 | 127 |
| 174 | A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues | Iulian Serban; Alessandro Sordoni; Ryan Lowe; Laurent Charlin; Joelle Pineau; Aaron C. Courville; Yoshua Bengio | AAAI | 2017 | 77 |
| 175 | Playing FPS Games with Deep Reinforcement Learning | Guillaume Lample; Devendra Singh Chaplot | AAAI | 2017 | 57 |
| 176 | The Option-Critic Architecture | Pierre-Luc Bacon; Jean Harb; Doina Precup | AAAI | 2017 | 52 |
| 177 | TextBoxes: A Fast Text Detector with a Single Deep Neural Network | Minghui Liao; Baoguang Shi; Xiang Bai; Xinggang Wang; Wenyu Liu | AAAI | 2017 | 48 |
| 178 | A Deep Hierarchical Approach to Lifelong Learning in Minecraft | Chen Tessler; Shahar Givony; Tom Zahavy; Daniel J. Mankowitz; Shie Mannor | AAAI | 2017 | 47 |
| 179 | Online Multi-Target Tracking Using Recurrent Neural Networks | Anton Milan; Seyed Hamid Rezatofighi; Anthony R. Dick; Ian D. Reid; Konrad Schindler | AAAI | 2017 | 41 |
| 180 | Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction | Junbo Zhang; Yu Zheng; Dekang Qi | AAAI | 2017 | 38 |
| 181 | A Riemannian Network for SPD Matrix Learning | Zhiwu Huang; Luc Van Gool | AAAI | 2017 | 32 |
| 182 | An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data | Sijie Song; Cuiling Lan; Junliang Xing; Wenjun Zeng; Jiaying Liu | AAAI | 2017 | 31 |
| 183 | Neural Machine Translation with Reconstruction | Zhaopeng Tu; Yang Liu; Lifeng Shang; Xiaohua Liu; Hang Li | AAAI | 2017 | 31 |
| 184 | Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation | Iulian Serban; Tim Klinger; Gerald Tesauro; Kartik Talamadupula; Bowen Zhou; Yoshua Bengio; Aaron C. Courville | AAAI | 2017 | 28 |
| 185 | SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents | Ramesh Nallapati; Feifei Zhai; Bowen Zhou | AAAI | 2017 | 28 |
| 186 | Label-Free Supervision of Neural Networks with Physics and Domain Knowledge | Russell Stewart; Stefano Ermon | AAAI | 2017 | 27 |
| 187 | Community Preserving Network Embedding | Xiao Wang; Peng Cui; Jing Wang; Jian Pei; Wenwu Zhu; Shiqiang Yang | AAAI | 2017 | 25 |
| 188 | Attention Correctness in Neural Image Captioning | Chenxi Liu; Junhua Mao; Fei Sha; Alan L. Yuille | AAAI | 2017 | 23 |
| 189 | DeepFix: Fixing Common C Language Errors by Deep Learning | Rahul Gupta; Soham Pal; Aditya Kanade; Shirish K. Shevade | AAAI | 2017 | 23 |
| 190 | VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem | Ronald Clark; Sen Wang; Hongkai Wen; Andrew Markham; Agathoniki Trigoni | AAAI | 2017 | 21 |
| 191 | Multivariate Hawkes Processes for Large-Scale Inference | Rémi Lemonnier; Kevin Scaman; Argyris Kalogeratos | AAAI | 2017 | 21 |
| 192 | ConceptNet 5.5: An Open Multilingual Graph of General Knowledge | Robert Speer; Joshua Chin; Catherine Havasi | AAAI | 2017 | 20 |
| 193 | Structured Inference Networks for Nonlinear State Space Models | Rahul G. Krishnan; Uri Shalit; David Sontag | AAAI | 2017 | 19 |
| 194 | A Multi-Task Deep Network for Person Re-Identification | Weihua Chen; Xiaotang Chen; Jianguo Zhang; Kaiqi Huang | AAAI | 2017 | 18 |
| 195 | Alternating Back-Propagation for Generator Network | Tian Han; Yang Lu; Song-Chun Zhu; Ying Nian Wu | AAAI | 2017 | 17 |
| 196 | Topic Aware Neural Response Generation | Chen Xing; Wei Wu; Yu Wu; Jie Liu; Yalou Huang; Ming Zhou; Wei-Ying Ma | AAAI | 2017 | 17 |
| 197 | Proportional Justified Representation | Luis Sánchez Fernández; Edith Elkind; Martin Lackner; Norberto Fernández García; Jesús Arias-Fisteus; Pablo Basanta-Val; Piotr Skowron | AAAI | 2017 | 17 |
| 198 | How to Train a Compact Binary Neural Network with High Accuracy? | Wei Tang; Gang Hua; Liang Wang | AAAI | 2017 | 17 |
| 199 | Neural Machine Translation Advised by Statistical Machine Translation | Xing Wang; Zhengdong Lu; Zhaopeng Tu; Hang Li; Deyi Xiong; Min Zhang | AAAI | 2017 | 15 |
| 200 | Coherent Dialogue with Attention-Based Language Models | Hongyuan Mei; Mohit Bansal; Matthew R. Walter | AAAI | 2017 | 15 |
| 201 | Column Networks for Collective Classification | Trang Pham; Truyen Tran; Dinh Q. Phung; Svetha Venkatesh | AAAI | 2017 | 14 |
| 202 | Bilateral Multi-Perspective Matching for Natural Language Sentences | Zhiguo Wang; Wael Hamza; Radu Florian | IJCAI | 2017 | 70 |
| 203 | Person Re-Identification by Deep Joint Learning of Multi-Loss Classification | Wei Li; Xiatian Zhu; Shaogang Gong | IJCAI | 2017 | 30 |
| 204 | Deep Forest: Towards An Alternative to Deep Neural Networks | Zhi-Hua Zhou; Ji Feng | IJCAI | 2017 | 28 |
| 205 | Explicit Knowledge-based Reasoning for Visual Question Answering | Peng Wang; Qi Wu; Chunhua Shen; Anthony R. Dick; Anton van den Hengel | IJCAI | 2017 | 22 |
| 206 | Demystifying Neural Style Transfer | Yanghao Li; Naiyan Wang; Jiaying Liu; Xiaodi Hou | IJCAI | 2017 | 21 |
| 207 | Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations | Andrew Slavin Ross; Michael C. Hughes; Finale Doshi-Velez | IJCAI | 2017 | 15 |
| 208 | Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy | Tathagata Chakraborti; Sarath Sreedharan; Yu Zhang; Subbarao Kambhampati | IJCAI | 2017 | 13 |
| 209 | DeepFM: A Factorization-Machine based Neural Network for CTR Prediction | Huifeng Guo; Ruiming Tang; Yunming Ye; Zhenguo Li; Xiuqiang He | IJCAI | 2017 | 13 |
| 210 | Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning | Jingkuan Song; Lianli Gao; Zhao Guo; Wu Liu; Dongxiang Zhang; Heng Tao Shen | IJCAI | 2017 | 10 |
| 211 | The Condorcet Principle for Multiwinner Elections: From Shortlisting to Proportionality | Haris Aziz; Edith Elkind; Piotr Faliszewski; Martin Lackner; Piotr Skowron | IJCAI | 2017 | 10 |
| 212 | Tactics of Adversarial Attack on Deep Reinforcement Learning Agents | Yen-Chen Lin; Zhang-Wei Hong; Yuan-Hong Liao; Meng-Li Shih; Ming-Yu Liu; Min Sun | IJCAI | 2017 | 9 |
| 213 | Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks | Jun Xiao; Hao Ye; Xiangnan He; Hanwang Zhang; Fei Wu; Tat-Seng Chua | IJCAI | 2017 | 9 |
| 214 | Fair and Efficient Social Choice in Dynamic Settings | Rupert Freeman; Seyed Majid Zahedi; Vincent Conitzer | IJCAI | 2017 | 8 |
| 215 | End-to-end optimization of goal-driven and visually grounded dialogue systems | Florian Strub; Harm de Vries; Jérémie Mary; Bilal Piot; Aaron C. Courville; Olivier Pietquin | IJCAI | 2017 | 8 |
| 216 | Proportional Rankings | Piotr Skowron; Martin Lackner; Markus Brill; Dominik Peters; Edith Elkind | IJCAI | 2017 | 7 |
| 217 | Radar: Residual Analysis for Anomaly Detection in Attributed Networks | Jundong Li; Harsh Dani; Xia Hu; Huan Liu | IJCAI | 2017 | 7 |
| 218 | Strategically knowing how | Raul Fervari; Andreas Herzig; Yanjun Li; Yanjing Wang | IJCAI | 2017 | 7 |
| 219 | Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment | Muhao Chen; Yingtao Tian; Mohan Yang; Carlo Zaniolo | IJCAI | 2017 | 7 |
| 220 | When Security Games Hit Traffic: Optimal Traffic Enforcement Under One Sided Uncertainty | Ariel Rosenfeld; Sarit Kraus | IJCAI | 2017 | 6 |
| 221 | A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction | Yao Qin; Dongjin Song; Haifeng Chen; Wei Cheng; Guofei Jiang; Garrison W. Cottrell | IJCAI | 2017 | 6 |
| 222 | Locality Preserving Matching | Jiayi Ma; Ji Zhao; Hanqi Guo; Junjun Jiang; Huabing Zhou; Yuan Gao | IJCAI | 2017 | 6 |
| 223 | Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks | Bo Wu; Wen-Huang Cheng; Yongdong Zhang; Qiushi Huang; Jintao Li; Tao Mei | IJCAI | 2017 | 6 |
| 224 | Learning to Learn Programs from Examples: Going Beyond Program Structure | Kevin Ellis; Sumit Gulwani | IJCAI | 2017 | 6 |
| 225 | Reconstruction-based Unsupervised Feature Selection: An Embedded Approach | Jundong Li; Jiliang Tang; Huan Liu | IJCAI | 2017 | 6 |
| 226 | Towards Understanding the Invertibility of Convolutional Neural Networks | Anna C. Gilbert; Yi Zhang; Kibok Lee; Yuting Zhang; Honglak Lee | IJCAI | 2017 | 5 |
| 227 | Discriminative Deep Hashing for Scalable Face Image Retrieval | Jie Lin; Zechao Li; Jinhui Tang | IJCAI | 2017 | 5 |
| 228 | Joint Training for Pivot-based Neural Machine Translation | Yong Cheng; Qian Yang; Yang Liu; Maosong Sun; Wei Xu | IJCAI | 2017 | 5 |
| 229 | User Profile Preserving Social Network Embedding | Daokun Zhang; Jie Yin; Xingquan Zhu; Chengqi Zhang | IJCAI | 2017 | 5 |
| 230 | No Time to Observe: Adaptive Influence Maximization with Partial Feedback | Jing Yuan; Shaojie Tang | IJCAI | 2017 | 5 |
| 231 | Mechanisms for Online Organ Matching | Nicholas Mattei; Abdallah Saffidine; Toby Walsh | IJCAI | 2017 | 5 |
| 232 | Improved Training of Wasserstein GANs | Ishaan Gulrajani; Faruk Ahmed; Martín Arjovsky; Vincent Dumoulin; Aaron C. Courville | NIPS | 2017 | 268 |
| 233 | Attention is All you Need | Ashish Vaswani; Noam Shazeer; Niki Parmar; Jakob Uszkoreit; Llion Jones; Aidan N. Gomez; Lukasz Kaiser; Illia Polosukhin | NIPS | 2017 | 162 |
| 234 | Unsupervised Image-to-Image Translation Networks | Ming-Yu Liu; Thomas Breuel; Jan Kautz | NIPS | 2017 | 73 |
| 235 | Self-Normalizing Neural Networks | Günter Klambauer; Thomas Unterthiner; Andreas Mayr; Sepp Hochreiter | NIPS | 2017 | 70 |
| 236 | A simple neural network module for relational reasoning | Adam Santoro; David Raposo; David G. T. Barrett; Mateusz Malinowski; Razvan Pascanu; Peter W. Battaglia; Tim Lillicrap | NIPS | 2017 | 57 |
| 237 | Prototypical Networks for Few-shot Learning | Jake Snell; Kevin Swersky; Richard S. Zemel | NIPS | 2017 | 50 |
| 238 | PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space | Charles Ruizhongtai Qi; Li Yi; Hao Su; Leonidas J. Guibas | NIPS | 2017 | 48 |
| 239 | Inductive Representation Learning on Large Graphs | William L. Hamilton; Zhitao Ying; Jure Leskovec | NIPS | 2017 | 44 |
| 240 | Dynamic Routing Between Capsules | Sara Sabour; Nicholas Frosst; Geoffrey E. Hinton | NIPS | 2017 | 43 |
| 241 | Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments | Ryan Lowe; Yi Wu; Aviv Tamar; Jean Harb; Pieter Abbeel; Igor Mordatch | NIPS | 2017 | 43 |
| 242 | What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? | Alex Kendall; Yarin Gal | NIPS | 2017 | 40 |
| 243 | MMD GAN: Towards Deeper Understanding of Moment Matching Network | Chun-Liang Li; Wei-Cheng Chang; Yu Cheng; Yiming Yang; Barnabás Póczos | NIPS | 2017 | 38 |
| 244 | One-Shot Imitation Learning | Yan Duan; Marcin Andrychowicz; Bradly C. Stadie; Jonathan Ho; Jonas Schneider; Ilya Sutskever; Pieter Abbeel; Wojciech Zaremba | NIPS | 2017 | 37 |
| 245 | The Marginal Value of Adaptive Gradient Methods in Machine Learning | Ashia C. Wilson; Rebecca Roelofs; Mitchell Stern; Nathan Srebro; Benjamin Recht | NIPS | 2017 | 37 |
| 246 | Spectrally-normalized margin bounds for neural networks | Peter L. Bartlett; Dylan J. Foster; Matus Telgarsky | NIPS | 2017 | 34 |
| 247 | Train longer, generalize better: closing the generalization gap in large batch training of neural networks | Elad Hoffer; Itay Hubara; Daniel Soudry | NIPS | 2017 | 32 |
| 248 | AdaGAN: Boosting Generative Models | Ilya O. Tolstikhin; Sylvain Gelly; Olivier Bousquet; Carl-Johann Simon-Gabriel; Bernhard Schölkopf | NIPS | 2017 | 31 |
| 249 | Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles | Balaji Lakshminarayanan; Alexander Pritzel; Charles Blundell | NIPS | 2017 | 28 |
| 250 | Dual Path Networks | Yunpeng Chen; Jianan Li; Huaxin Xiao; Xiaojie Jin; Shuicheng Yan; Jiashi Feng | NIPS | 2017 | 27 |
| 251 | Convergence Analysis of Two-layer Neural Networks with ReLU Activation | Yuanzhi Li; Yang Yuan | NIPS | 2017 | 27 |
| 252 | Triple Generative Adversarial Nets | Chongxuan Li; Taufik Xu; Jun Zhu; Bo Zhang | NIPS | 2017 | 27 |
| 253 | #Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning | Haoran Tang; Rein Houthooft; Davis Foote; Adam Stooke; Xi Chen; Yan Duan; John Schulman; Filip De Turck; Pieter Abbeel | NIPS | 2017 | 26 |
| 254 | Exploring Generalization in Deep Learning | Behnam Neyshabur; Srinadh Bhojanapalli; David McAllester; Nathan Srebro | NIPS | 2017 | 24 |
| 255 | Bridging the Gap Between Value and Policy Based Reinforcement Learning | Ofir Nachum; Mohammad Norouzi; Kelvin Xu; Dale Schuurmans | NIPS | 2017 | 24 |
| 256 | Distral: Robust multitask reinforcement learning | Yee Whye Teh; Victor Bapst; Wojciech Czarnecki; John Quan; James Kirkpatrick; Raia Hadsell; Nicolas Heess; Razvan Pascanu | NIPS | 2017 | 24 |
| 257 | Associative Embedding: End-to-End Learning for Joint Detection and Grouping | Alejandro Newell; Zhiao Huang; Jia Deng | NIPS | 2017 | 23 |
| 258 | Hybrid Reward Architecture for Reinforcement Learning | Harm van Seijen; Mehdi Fatemi; Romain Laroche; Joshua Romoff; Tavian Barnes; Jeffrey Tsang | NIPS | 2017 | 22 |
| 259 | Deep Reinforcement Learning from Human Preferences | Paul F. Christiano; Jan Leike; Tom Brown; Miljan Martic; Shane Legg; Dario Amodei | NIPS | 2017 | 22 |
| 260 | GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium | Martin Heusel; Hubert Ramsauer; Thomas Unterthiner; Bernhard Nessler; Sepp Hochreiter | NIPS | 2017 | 22 |
| 261 | Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning | Shixiang Gu; Tim Lillicrap; Richard E. Turner; Zoubin Ghahramani; Bernhard Schölkopf; Sergey Levine | NIPS | 2017 | 22 |
| 262 | Conditional Image Synthesis with Auxiliary Classifier GANs | Augustus Odena; Christopher Olah; Jonathon Shlens | ICML | 2017 | 170 |
| 263 | Convolutional Sequence to Sequence Learning | Jonas Gehring; Michael Auli; David Grangier; Denis Yarats; Yann Dauphin | ICML | 2017 | 126 |
| 264 | Learning to Discover Cross-Domain Relations with Generative Adversarial Networks | Taeksoo Kim; Moonsu Cha; Hyunsoo Kim; Jung Kwon Lee; Jiwon Kim | ICML | 2017 | 109 |
| 265 | Language Modeling with Gated Convolutional Networks | Yann Dauphin; Angela Fan; Michael Auli; David Grangier | ICML | 2017 | 94 |
| 266 | Wasserstein Generative Adversarial Networks | Martín Arjovsky; Soumith Chintala; Léon Bottou | ICML | 2017 | 89 |
| 267 | Recurrent Highway Networks | Julian Georg Zilly; Rupesh Kumar Srivastava; Jan Koutník; Jürgen Schmidhuber | ICML | 2017 | 83 |
| 268 | Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks | Lars M. Mescheder; Sebastian Nowozin; Andreas Geiger | ICML | 2017 | 70 |
| 269 | Understanding Black-box Predictions via Influence Functions | Pang Wei Koh; Percy Liang | ICML | 2017 | 69 |
| 270 | Large-Scale Evolution of Image Classifiers | Esteban Real; Sherry Moore; Andrew Selle; Saurabh Saxena; Yutaka Leon Suematsu; Jie Tan; Quoc V. Le; Alexey Kurakin | ICML | 2017 | 67 |
| 271 | Generalization and Equilibrium in Generative Adversarial Nets (GANs) | Sanjeev Arora; Rong Ge; Yingyu Liang; Tengyu Ma; Yi Zhang | ICML | 2017 | 65 |
| 272 | Parseval Networks: Improving Robustness to Adversarial Examples | Moustapha Cissé; Piotr Bojanowski; Edouard Grave; Yann Dauphin; Nicolas Usunier | ICML | 2017 | 57 |
| 273 | Neural Message Passing for Quantum Chemistry | Justin Gilmer; Samuel S. Schoenholz; Patrick F. Riley; Oriol Vinyals; George E. Dahl | ICML | 2017 | 57 |
| 274 | FeUdal Networks for Hierarchical Reinforcement Learning | Alexander Sasha Vezhnevets; Simon Osindero; Tom Schaul; Nicolas Heess; Max Jaderberg; David Silver; Koray Kavukcuoglu | ICML | 2017 | 50 |
| 275 | How to Escape Saddle Points Efficiently | Chi Jin; Rong Ge; Praneeth Netrapalli; Sham M. Kakade; Michael I. Jordan | ICML | 2017 | 49 |
| 276 | Sharp Minima Can Generalize For Deep Nets | Laurent Dinh; Razvan Pascanu; Samy Bengio; Yoshua Bengio | ICML | 2017 | 45 |
| 277 | Deep Transfer Learning with Joint Adaptation Networks | Mingsheng Long; Han Zhu; Jianmin Wang; Michael I. Jordan | ICML | 2017 | 42 |
| 278 | Programming with a Differentiable Forth Interpreter | Matko Bosnjak; Tim Rocktäschel; Jason Naradowsky; Sebastian Riedel | ICML | 2017 | 38 |
| 279 | Video Pixel Networks | Nal Kalchbrenner; Aäron van den Oord; Karen Simonyan; Ivo Danihelka; Oriol Vinyals; Alex Graves; Koray Kavukcuoglu | ICML | 2017 | 38 |
| 280 | RobustFill: Neural Program Learning under Noisy I/O | Jacob Devlin; Jonathan Uesato; Surya Bhupatiraju; Rishabh Singh; Abdel-rahman Mohamed; Pushmeet Kohli | ICML | 2017 | 36 |
| 281 | Reinforcement Learning with Deep Energy-Based Policies | Tuomas Haarnoja; Haoran Tang; Pieter Abbeel; Sergey Levine | ICML | 2017 | 35 |
| 282 | Deep Voice: Real-time Neural Text-to-Speech | Sercan Ömer Arik; Mike Chrzanowski; Adam Coates; Gregory Frederick Diamos; Andrew Gibiansky; Yongguo Kang; Xian Li; John Miller; Andrew Y. Ng; Jonathan Raiman; Shubho Sengupta; Mohammad Shoeybi | ICML | 2017 | 34 |
| 283 | Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs | Alon Brutzkus; Amir Globerson | ICML | 2017 | 32 |
| 284 | McGan: Mean and Covariance Feature Matching GAN | Youssef Mroueh; Tom Sercu; Vaibhava Goel | ICML | 2017 | 31 |
| 285 | Modular Multitask Reinforcement Learning with Policy Sketches | Jacob Andreas; Dan Klein; Sergey Levine | ICML | 2017 | 31 |
| 286 | The Predictron: End-To-End Learning and Planning | David Silver; Hado van Hasselt; Matteo Hessel; Tom Schaul; Arthur Guez; Tim Harley; Gabriel Dulac-Arnold; David P. Reichert; Neil C. Rabinowitz; André Barreto; Thomas Degris | ICML | 2017 | 31 |
| 287 | No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis | Rong Ge; Chi Jin; Yi Zheng | ICML | 2017 | 30 |
| 288 | Decoupled Neural Interfaces using Synthetic Gradients | Max Jaderberg; Wojciech Czarnecki; Simon Osindero; Oriol Vinyals; Alex Graves; David Silver; Koray Kavukcuoglu | ICML | 2017 | 29 |
| 289 | The Loss Surface of Deep and Wide Neural Networks | Quynh Nguyen; Matthias Hein | ICML | 2017 | 29 |
| 290 | Learning Important Features Through Propagating Activation Differences | Avanti Shrikumar; Peyton Greenside; Anshul Kundaje | ICML | 2017 | 29 |
| 291 | Recovery Guarantees for One-hidden-layer Neural Networks | Kai Zhong; Zhao Song; Prateek Jain; Peter L. Bartlett; Inderjit S. Dhillon | ICML | 2017 | 28 |
| 292 | Wasserstein GAN | Martín Arjovsky; Soumith Chintala; Léon Bottou | ArXiv | 2017 | 234 |
| 293 | MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications | Andrew G. Howard; Menglong Zhu; Bo Chen; Dmitry Kalenichenko; Weijun Wang; Tobias Weyand; Marco Andreetto; Hartwig Adam | ArXiv | 2017 | 182 |
| 294 | Towards Principled Methods for Training Generative Adversarial Networks | Martín Arjovsky; Léon Bottou | ArXiv | 2017 | 178 |
| 295 | BEGAN: Boundary Equilibrium Generative Adversarial Networks | David Berthelot; Tom Schumm; Luke Metz | ArXiv | 2017 | 133 |
| 296 | Proximal Policy Optimization Algorithms | John Schulman; Filip Wolski; Prafulla Dhariwal; Alec Radford; Oleg Klimov | ArXiv | 2017 | 119 |
| 297 | Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour | Priya Goyal; Piotr Dollár; Ross B. Girshick; Pieter Noordhuis; Lukasz Wesolowski; Aapo Kyrola; Andrew Tulloch; Yangqing Jia; Kaiming He | ArXiv | 2017 | 96 |
| 298 | Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer | Noam Shazeer; Azalia Mirhoseini; Krzysztof Maziarz; Andy Davis; Quoc V. Le; Geoffrey E. Hinton; Jeff Dean | ArXiv | 2017 | 94 |
| 299 | On Detecting Adversarial Perturbations | Jan Hendrik Metzen; Tim Genewein; Volker Fischer; Bastian Bischoff | ArXiv | 2017 | 88 |
| 300 | Towards Deep Learning Models Resistant to Adversarial Attacks | Aleksander Madry; Aleksandar Makelov; Ludwig Schmidt; Dimitris Tsipras; Adrian Vladu | ArXiv | 2017 | 84 |
| 301 | Ensemble Adversarial Training: Attacks and Defenses | Florian Tramèr; Alexey Kurakin; Nicolas Papernot; Dan Boneh; Patrick D. McDaniel | ArXiv | 2017 | 81 |
| 302 | Opening the Black Box of Deep Neural Networks via Information | Ravid Shwartz-Ziv; Naftali Tishby | ArXiv | 2017 | 74 |
| 303 | DyNet: The Dynamic Neural Network Toolkit | Graham Neubig; Chris Dyer; Yoav Goldberg; Austin Matthews; Waleed Ammar; Antonios Anastasopoulos; Miguel Ballesteros; David Chiang; Daniel Clothiaux; Trevor Cohn; Kevin Duh; Manaal Faruqui; Cynthia Gan; Dan Garrette; Yangfeng Ji; Lingpeng Kong; Adhiguna Kuncoro; Gaurav Kumar; Chaitanya Malaviya; Paul Michel; Yusuke Oda; Matthew Richardson; Naomi Saphra; Swabha Swayamdipta; Pengcheng Yin | ArXiv | 2017 | 74 |
| 304 | Evolution Strategies as a Scalable Alternative to Reinforcement Learning | Tim Salimans; Jonathan Ho; Xi Chen; Ilya Sutskever | ArXiv | 2017 | 71 |
| 305 | Progressive Growing of GANs for Improved Quality, Stability, and Variation | Tero Karras; Timo Aila; Samuli Laine; Jaakko Lehtinen | ArXiv | 2017 | 67 |
| 306 | ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices | Xiangyu Zhang; Xinyu Zhou; Mengxiao Lin; Jian Sun | ArXiv | 2017 | 62 |
| 307 | Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks | Weilin Xu; David Evans; Yanjun Qi | ArXiv | 2017 | 61 |
| 308 | Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms | Han Xiao; Kashif Rasul; Roland Vollgraf | ArXiv | 2017 | 61 |
| 309 | Detecting Adversarial Samples from Artifacts | Reuben Feinman; Ryan R. Curtin; Saurabh Shintre; Andrew B. Gardner | ArXiv | 2017 | 61 |
| 310 | PathNet: Evolution Channels Gradient Descent in Super Neural Networks | Chrisantha Fernando; Dylan Banarse; Charles Blundell; Yori Zwols; David Ha; Andrei A. Rusu; Alexander Pritzel; Daan Wierstra | ArXiv | 2017 | 59 |
| 311 | Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights | Aojun Zhou; Anbang Yao; Yiwen Guo; Lin Xu; Yurong Chen | ArXiv | 2017 | 59 |
| 312 | Educational Data Mining and Learning Analytics - Educational Assistance for Teaching and Learning | Ganesan Kavitha; Lawrance Raj | ArXiv | 2017 | 57 |
| 313 | On the (Statistical) Detection of Adversarial Examples | Kathrin Grosse; Praveen Manoharan; Nicolas Papernot; Michael Backes; Patrick D. McDaniel | ArXiv | 2017 | 53 |
| 314 | Learning Transferable Architectures for Scalable Image Recognition | Barret Zoph; Vijay Vasudevan; Jonathon Shlens; Quoc V. Le | ArXiv | 2017 | 52 |
| 315 | PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications | Tim Salimans; Andrej Karpathy; Xi Chen; Diederik P. Kingma | ArXiv | 2017 | 51 |
| 316 | A Structured Self-attentive Sentence Embedding | Zhouhan Lin; Minwei Feng; Cícero Nogueira dos Santos; Mo Yu; Bing Xiang; Bowen Zhou; Yoshua Bengio | ArXiv | 2017 | 50 |
| 317 | Regularizing Neural Networks by Penalizing Confident Output Distributions | Gabriel Pereyra; George Tucker; Jan Chorowski; Lukasz Kaiser; Geoffrey E. Hinton | ArXiv | 2017 | 50 |
| 318 | Squeeze-and-Excitation Networks | Jie Hu; Li Shen; Gang Sun | ArXiv | 2017 | 49 |
| 319 | Massive Exploration of Neural Machine Translation Architectures | Denny Britz; Anna Goldie; Minh-Thang Luong; Quoc V. Le | ArXiv | 2017 | 49 |
| 320 | Formal Verification of Probabilistic SystemC Models with Statistical Model Checking | Van Chan Ngo; Axel Legay | ArXiv | 2017 | 47 |
| 321 | DSSD : Deconvolutional Single Shot Detector | Cheng-Yang Fu; Wei Liu; Ananth Ranga; Ambrish Tyagi; Alexander C. Berg | ArXiv | 2017 | 40 |
| 322 | Joint Deep Modeling of Users and Items Using Reviews for Recommendation | Lei Zheng; Vahid Noroozi; Philip S. Yu | WSDM | 2017 | 34 |
| 323 | Recurrent Recommender Networks | Chao-Yuan Wu; Amr Ahmed; Alex Beutel; Alexander J. Smola; How Jing | WSDM | 2017 | 34 |
| 324 | WSDM Cup 2017: Vandalism Detection and Triple Scoring | Stefan Heindorf; Martin Potthast; Hannah Bast; Björn Buchhold; Elmar Haussmann | WSDM | 2017 | 25 |
| 325 | Label Informed Attributed Network Embedding | Xiao Huang; Jundong Li; Xia Hu | WSDM | 2017 | 24 |
| 326 | Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification | Ting Chen; Yizhou Sun | WSDM | 2017 | 21 |
| 327 | Reducing Controversy by Connecting Opposing Views | Venkata Rama Kiran Garimella; Gianmarco De Francisci Morales; Aristides Gionis; Michael Mathioudakis | WSDM | 2017 | 19 |
| 328 | Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior | Tim Althoff; Pranav Jindal; Jure Leskovec | WSDM | 2017 | 18 |
| 329 | Motifs in Temporal Networks | Ashwin Paranjape; Austin R. Benson; Jure Leskovec | WSDM | 2017 | 17 |
| 330 | DiSMEC: Distributed Sparse Machines for Extreme Multi-label Classification | Rohit Babbar; Bernhard Schölkopf | WSDM | 2017 | 15 |
| 331 | Unbiased Learning-to-Rank with Biased Feedback | Thorsten Joachims; Adith Swaminathan; Tobias Schnabel | WSDM | 2017 | 14 |
| 332 | Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks | Linchuan Xu; Xiaokai Wei; Jiannong Cao; Philip S. Yu | WSDM | 2017 | 13 |
| 333 | Lightweight Multilingual Entity Extraction and Linking | Aasish Pappu; Roi Blanco; Yashar Mehdad; Amanda Stent; Kapil Thadani | WSDM | 2017 | 12 |
| 334 | Neural Survival Recommender | How Jing; Alexander J. Smola | WSDM | 2017 | 11 |
| 335 | RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks | Ali Zarezade; Utkarsh Upadhyay; Hamid R. Rabiee; Manuel Gomez-Rodriguez | WSDM | 2017 | 11 |
| 336 | A Comparison of Document-at-a-Time and Score-at-a-Time Query Evaluation | Matt Crane; J. Shane Culpepper; Jimmy J. Lin; Joel Mackenzie; Andrew Trotman | WSDM | 2017 | 10 |
| 337 | Multilinear Factorization Machines for Multi-Task Multi-View Learning | Chun-Ta Lu; Lifang He; Weixiang Shao; Bokai Cao; Philip S. Yu | WSDM | 2017 | 9 |
| 338 | PRED: Periodic Region Detection for Mobility Modeling of Social Media Users | Quan Yuan; Wei Zhang; Chao Zhang; Xinhe Geng; Gao Cong; Jiawei Han | WSDM | 2017 | 9 |
| 339 | Modeling Document Networks with Tree-Averaged Copula Regularization | Yuan He; Cheng Wang; Changjun Jiang | WSDM | 2017 | 8 |
| 340 | Predicting Completeness in Knowledge Bases | Luis Galárraga; Simon Razniewski; Antoine Amarilli; Fabian M. Suchanek | WSDM | 2017 | 8 |
| 341 | Learning from User Interactions in Personal Search via Attribute Parameterization | Michael Bendersky; Xuanhui Wang; Donald Metzler; Marc Najork | WSDM | 2017 | 7 |
| 342 | Social Collaborative Viewpoint Regression with Explainable Recommendations | Zhaochun Ren; Shangsong Liang; Piji Li; Shuaiqiang Wang; Maarten de Rijke | WSDM | 2017 | 7 |
| 343 | Real-Time Bidding by Reinforcement Learning in Display Advertising | Han Cai; Kan Ren; Weinan Zhang; Kleanthis Malialis; Jun Wang; Yong Yu; Defeng Guo | WSDM | 2017 | 7 |
| 344 | Neural Text Embeddings for Information Retrieval | Bhaskar Mitra; Nick Craswell | WSDM | 2017 | 7 |
| 345 | Delving Deep into Personal Photo and Video Search | Lu Jiang; Yannis Kalantidis; Liangliang Cao; Sachin Farfade; Jiliang Tang; Alexander G. Hauptmann | WSDM | 2017 | 6 |
| 346 | S-HOT: Scalable High-Order Tucker Decomposition | Jinoh Oh; Kijung Shin; Evangelos E. Papalexakis; Christos Faloutsos; Hwanjo Yu | WSDM | 2017 | 6 |
| 347 | Deep Memory Networks for Attitude Identification | Cheng Li; Xiaoxiao Guo; Qiaozhu Mei | WSDM | 2017 | 6 |
| 348 | Counting Graphlets: Space vs Time | Marco Bressan; Flavio Chierichetti; Ravi Kumar; Stefano Leucci; Alessandro Panconesi | WSDM | 2017 | 5 |
| 349 | D-Cube: Dense-Block Detection in Terabyte-Scale Tensors | Kijung Shin; Bryan Hooi; Jisu Kim; Christos Faloutsos | WSDM | 2017 | 5 |
| 350 | Beyond the Words: Predicting User Personality from Heterogeneous Information | Honghao Wei; Fuzheng Zhang; Nicholas Jing Yuan; Chuan Cao; Hao Fu; Xing Xie; Yong Rui; Wei-Ying Ma | WSDM | 2017 | 5 |
| 351 | Semantic-aware Query Processing for Activity Trajectories | Huiwen Liu; Jiajie Xu; Kai Zheng; Chengfei Liu; Lan Du; Xian Wu | WSDM | 2017 | 5 |
| 352 | Neural Factorization Machines for Sparse Predictive Analytics | Xiangnan He; Tat-Seng Chua | SIGIR | 2017 | 26 |
| 353 | Neural Ranking Models with Weak Supervision | Mostafa Dehghani; Hamed Zamani; Aliaksei Severyn; Jaap Kamps; W. Bruce Croft | SIGIR | 2017 | 21 |
| 354 | Item Silk Road: Recommending Items from Information Domains to Social Users | Xiang Wang; Xiangnan He; Liqiang Nie; Tat-Seng Chua | SIGIR | 2017 | 14 |
| 355 | Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention | Jingyuan Chen; Hanwang Zhang; Xiangnan He; Liqiang Nie; Wei Liu; Tat-Seng Chua | SIGIR | 2017 | 13 |
| 356 | IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models | Jun Wang; Lantao Yu; Weinan Zhang; Yu Gong; Yinghui Xu; Benyou Wang; Peng Zhang; Dell Zhang | SIGIR | 2017 | 12 |
| 357 | Relevance-based Word Embedding | Hamed Zamani; W. Bruce Croft | SIGIR | 2017 | 12 |
| 358 | Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture | Yi Tay; Minh C. Phan; Anh Tuan Luu; Siu Cheung Hui | SIGIR | 2017 | 9 |
| 359 | End-to-End Neural Ad-hoc Ranking with Kernel Pooling | Chenyan Xiong; Zhuyun Dai; James P. Callan; Zhiyuan Liu; Russell Power | SIGIR | 2017 | 9 |
| 360 | Personalized Key Frame Recommendation | Xu Chen; Yongfeng Zhang; Qingyao Ai; Hongteng Xu; Junchi Yan; Zheng Qin | SIGIR | 2017 | 8 |
| 361 | Neural Rating Regression with Abstractive Tips Generation for Recommendation | Piji Li; Zihao Wang; Zhaochun Ren; Lidong Bing; Wai Lam | SIGIR | 2017 | 7 |
| 362 | Computational Social Indicators: A Case Study of Chinese University Ranking | Fuli Feng; Liqiang Nie; Xiang Wang; Richang Hong; Tat-Seng Chua | SIGIR | 2017 | 7 |
| 363 | Deep Learning for Extreme Multi-label Text Classification | Jingzhou Liu; Wei-Cheng Chang; Yuexin Wu; Yiming Yang | SIGIR | 2017 | 6 |
| 364 | Online In-Situ Interleaved Evaluation of Real-Time Push Notification Systems | Adam Roegiest; Luchen Tan; Jimmy Lin | SIGIR | 2017 | 6 |
| 365 | Word-Entity Duet Representations for Document Ranking | Chenyan Xiong; James P. Callan; Tie-Yan Liu | SIGIR | 2017 | 6 |
| 366 | Neural Networks for Information Retrieval | Tom Kenter; Alexey Borisov; Christophe Van Gysel; Mostafa Dehghani; Maarten de Rijke; Bhaskar Mitra | SIGIR | 2017 | 5 |
| 367 | Exploiting Food Choice Biases for Healthier Recipe Recommendation | David Elsweiler; Christoph Trattner; Morgan Harvey | SIGIR | 2017 | 5 |
| 368 | AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders | Shuai Zhang; Lina Yao; Xiwei Xu | SIGIR | 2017 | 5 |
| 369 | Characterizing and Predicting Enterprise Email Reply Behavior | Liu Yang; Susan T. Dumais; Paul N. Bennett; Ahmed Hassan Awadallah | SIGIR | 2017 | 5 |
| 370 | Word Embedding Causes Topic Shifting; Exploit Global Context! | Navid Rekabsaz; Mihai Lupu; Allan Hanbury; Hamed Zamani | SIGIR | 2017 | 5 |
| 371 | Learning a Hierarchical Embedding Model for Personalized Product Search | Qingyao Ai; Yongfeng Zhang; Keping Bi; Xu Chen; W. Bruce Croft | SIGIR | 2017 | 4 |
| 372 | Predictive Network Representation Learning for Link Prediction | Zhitao Wang; Chengyao Chen; Wenjie Li | SIGIR | 2017 | 4 |
| 373 | Navigating Imprecision in Relevance Assessments on the Road to Total Recall: Roger and Me | Gordon V. Cormack; Maura R. Grossman | SIGIR | 2017 | 4 |
| 374 | Cross-Domain Recommendation via Clustering on Multi-Layer Graphs | Aleksandr Farseev; Ivan Samborskii; Andrey Filchenkov; Tat-Seng Chua | SIGIR | 2017 | 4 |
| 375 | BitFunnel: Revisiting Signatures for Search | Bob Goodwin; Michael Hopcroft; Dan Luu; Alex Clemmer; Mihaela Curmei; Sameh Elnikety; Yuxiong He | SIGIR | 2017 | 4 |
| 376 | ReAct: Online Multimodal Embedding for Recency-Aware Spatiotemporal Activity Modeling | Chao Zhang; Keyang Zhang; Quan Yuan; Fangbo Tao; Luming Zhang; Tim Hanratty; Jiawei Han | SIGIR | 2017 | 4 |
| 377 | Classification by Retrieval: Binarizing Data and Classifiers | Fumin Shen; Yadong Mu; Yang Yang; Wei Liu; Li Liu; Jingkuan Song; Heng Tao Shen | SIGIR | 2017 | 4 |
| 378 | DeepStyle: Learning User Preferences for Visual Recommendation | Qiang Liu; Shu Wu; Liang Wang | SIGIR | 2017 | 4 |
| 379 | Dynamic Factual Summaries for Entity Cards | Faegheh Hasibi; Krisztian Balog; Svein Erik Bratsberg | SIGIR | 2017 | 3 |
| 380 | A Test Collection for Evaluating Retrieval of Studies for Inclusion in Systematic Reviews | Harrisen Scells; Guido Zuccon; Bevan Koopman; Anthony Deacon; Leif Azzopardi; Shlomo Geva | SIGIR | 2017 | 3 |
| 381 | Anserini: Enabling the Use of Lucene for Information Retrieval Research | Peilin Yang; Hui Fang; Jimmy Lin | SIGIR | 2017 | 3 |
| 382 | Neural Machine Translation of Rare Words with Subword Units | Rico Sennrich; Barry Haddow; Alexandra Birch | ACL | 2016 | 394 |
| 383 | Globally Normalized Transition-Based Neural Networks | Daniel Andor; Chris Alberti; David Weiss; Aliaksei Severyn; Alessandro Presta; Kuzman Ganchev; Slav Petrov; Michael Collins | ACL | 2016 | 163 |
| 384 | Improving Neural Machine Translation Models with Monolingual Data | Rico Sennrich; Barry Haddow; Alexandra Birch | ACL | 2016 | 130 |
| 385 | End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF | Xuezhe Ma; Eduard H. Hovy | ACL | 2016 | 130 |
| 386 | A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task | Danqi Chen; Jason Bolton; Christopher D. Manning | ACL | 2016 | 114 |
| 387 | A Character-level Decoder without Explicit Segmentation for Neural Machine Translation | Junyoung Chung; Kyunghyun Cho; Yoshua Bengio | ACL | 2016 | 106 |
| 388 | A Persona-Based Neural Conversation Model | Jiwei Li; Michel Galley; Chris Brockett; Georgios P. Spithourakis; Jianfeng Gao; William B. Dolan | ACL | 2016 | 102 |
| 389 | Incorporating Copying Mechanism in Sequence-to-Sequence Learning | Jiatao Gu; Zhengdong Lu; Hang Li; Victor O. K. Li | ACL | 2016 | 97 |
| 390 | Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models | Minh-Thang Luong; Christopher D. Manning | ACL | 2016 | 93 |
| 391 | Modeling Coverage for Neural Machine Translation | Zhaopeng Tu; Zhengdong Lu; Yang Liu; Xiaohua Liu; Hang Li | ACL | 2016 | 93 |
| 392 | Minimum Risk Training for Neural Machine Translation | Shiqi Shen; Yong Cheng; Zhongjun He; Wei He; Hua Wu; Maosong Sun; Yang Liu | ACL | 2016 | 90 |
| 393 | Text Understanding with the Attention Sum Reader Network | Rudolf Kadlec; Martin Schmid; Ondrej Bajgar; Jan Kleindienst | ACL | 2016 | 86 |
| 394 | Language to Logical Form with Neural Attention | Li Dong; Mirella Lapata | ACL | 2016 | 82 |
| 395 | A Fast Unified Model for Parsing and Sentence Understanding | Samuel R. Bowman; Jon Gauthier; Abhinav Rastogi; Raghav Gupta; Christopher D. Manning; Christopher Potts | ACL | 2016 | 76 |
| 396 | Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss | Barbara Plank; Anders Søgaard; Yoav Goldberg | ACL | 2016 | 68 |
| 397 | Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change | William L. Hamilton; Jure Leskovec; Daniel Jurafsky | ACL | 2016 | 65 |
| 398 | Character-based Neural Machine Translation | Marta R. Costa-Jussà; José A. R. Fonollosa | ACL | 2016 | 63 |
| 399 | Pointing the Unknown Words | Çaglar Gülçehre; Sungjin Ahn; Ramesh Nallapati; Bowen Zhou; Yoshua Bengio | ACL | 2016 | 61 |
| 400 | End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures | Makoto Miwa; Mohit Bansal | ACL | 2016 | 58 |
| 401 | Query Expansion with Locally-Trained Word Embeddings | Fernando Diaz; Bhaskar Mitra; Nick Craswell | ACL | 2016 | 57 |
| 402 | Neural Summarization by Extracting Sentences and Words | Jianpeng Cheng; Mirella Lapata | ACL | 2016 | 56 |
| 403 | Harnessing Deep Neural Networks with Logic Rules | Zhiting Hu; Xuezhe Ma; Zhengzhong Liu; Eduard H. Hovy; Eric P. Xing | ACL | 2016 | 54 |
| 404 | Neural Relation Extraction with Selective Attention over Instances | Yankai Lin; Shiqi Shen; Zhiyuan Liu; Huanbo Luan; Maosong Sun | ACL | 2016 | 52 |
| 405 | Data Recombination for Neural Semantic Parsing | Robin Jia; Percy Liang | ACL | 2016 | 47 |
| 406 | Latent Predictor Networks for Code Generation | Wang Ling; Phil Blunsom; Edward Grefenstette; Karl Moritz Hermann; Tomás Kociský; Fumin Wang; Andrew Senior | ACL | 2016 | 44 |
| 407 | Siamese CBOW: Optimizing Word Embeddings for Sentence Representations | Tom Kenter; Alexey Borisov; Maarten de Rijke | ACL | 2016 | 44 |
| 408 | Natural Language Inference by Tree-Based Convolution and Heuristic Matching | Lili Mou; Rui Men; Ge Li; Yan Xu; Lu Zhang; Rui Yan; Zhi Jin | ACL | 2016 | 44 |
| 409 | Deep multi-task learning with low level tasks supervised at lower layers | Anders Søgaard; Yoav Goldberg | ACL | 2016 | 43 |
| 410 | Tree-to-Sequence Attentional Neural Machine Translation | Akiko Eriguchi; Kazuma Hashimoto; Yoshimasa Tsuruoka | ACL | 2016 | 41 |
| 411 | Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification | Peng Zhou; Wei Shi; Jun Tian; Zhenyu Qi; Bingchen Li; Hongwei Hao; Bo Xu | ACL | 2016 | 40 |
| 412 | SQuAD: 100, 000+ Questions for Machine Comprehension of Text | Pranav Rajpurkar; Jian Zhang; Konstantin Lopyrev; Percy Liang | EMNLP | 2016 | 269 |
| 413 | Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding | Akira Fukui; Dong Huk Park; Daylen Yang; Anna Rohrbach; Trevor Darrell; Marcus Rohrbach | EMNLP | 2016 | 163 |
| 414 | Deep Reinforcement Learning for Dialogue Generation | Jiwei Li; Will Monroe; Alan Ritter; Daniel Jurafsky; Michel Galley; Jianfeng Gao | EMNLP | 2016 | 121 |
| 415 | How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation | Chia-Wei Liu; Ryan Lowe; Iulian Serban; Michael Noseworthy; Laurent Charlin; Joelle Pineau | EMNLP | 2016 | 103 |
| 416 | Key-Value Memory Networks for Directly Reading Documents | Alexander H. Miller; Adam Fisch; Jesse Dodge; Amir-Hossein Karimi; Antoine Bordes; Jason Weston | EMNLP | 2016 | 94 |
| 417 | A Decomposable Attention Model for Natural Language Inference | Ankur P. Parikh; Oscar Täckström; Dipanjan Das; Jakob Uszkoreit | EMNLP | 2016 | 94 |
| 418 | Long Short-Term Memory-Networks for Machine Reading | Jianpeng Cheng; Li Dong; Mirella Lapata | EMNLP | 2016 | 91 |
| 419 | Rationalizing Neural Predictions | Tao Lei; Regina Barzilay; Tommi S. Jaakkola | EMNLP | 2016 | 68 |
| 420 | Sequence-to-Sequence Learning as Beam-Search Optimization | Sam Wiseman; Alexander M. Rush | EMNLP | 2016 | 61 |
| 421 | Neural versus Phrase-Based Machine Translation Quality: a Case Study | Luisa Bentivogli; Arianna Bisazza; Mauro Cettolo; Marcello Federico | EMNLP | 2016 | 50 |
| 422 | Transfer Learning for Low-Resource Neural Machine Translation | Barret Zoph; Deniz Yuret; Jonathan May; Kevin Knight | EMNLP | 2016 | 48 |
| 423 | Who did What: A Large-Scale Person-Centered Cloze Dataset | Takeshi Onishi; Hai Wang; Mohit Bansal; Kevin Gimpel; David A. McAllester | EMNLP | 2016 | 38 |
| 424 | Natural Language Comprehension with the EpiReader | Adam Trischler; Zheng Ye; Xingdi Yuan; Philip Bachman; Alessandro Sordoni; Kaheer Suleman | EMNLP | 2016 | 37 |
| 425 | Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions? | Abhishek Das; Harsh Agrawal; C. Lawrence Zitnick; Devi Parikh; Dhruv Batra | EMNLP | 2016 | 36 |
| 426 | Stance Detection with Bidirectional Conditional Encoding | Isabelle Augenstein; Tim Rocktäschel; Andreas Vlachos; Kalina Bontcheva | EMNLP | 2016 | 35 |
| 427 | Charagram: Embedding Words and Sentences via Character n-grams | John Wieting; Mohit Bansal; Kevin Gimpel; Karen Livescu | EMNLP | 2016 | 34 |
| 428 | Aspect Level Sentiment Classification with Deep Memory Network | Duyu Tang; Bing Qin; Ting Liu | EMNLP | 2016 | 32 |
| 429 | Attention-based LSTM for Aspect-level Sentiment Classification | Yequan Wang; Minlie Huang; Xiaoyan Zhu; Li Zhao | EMNLP | 2016 | 32 |
| 430 | Incorporating Discrete Translation Lexicons into Neural Machine Translation | Philip Arthur; Graham Neubig; Satoshi Nakamura | EMNLP | 2016 | 31 |
| 431 | Coverage Embedding Models for Neural Machine Translation | Haitao Mi; Baskaran Sankaran; Zhiguo Wang; Abe Ittycheriah | EMNLP | 2016 | 31 |
| 432 | Zero-Resource Translation with Multi-Lingual Neural Machine Translation | Orhan Firat; Baskaran Sankaran; Yaser Al-Onaizan; Fatos T. Yarman-Vural; Kyunghyun Cho | EMNLP | 2016 | 30 |
| 433 | Sequence-Level Knowledge Distillation | Yoon Kim; Alexander M. Rush | EMNLP | 2016 | 29 |
| 434 | Deep Reinforcement Learning for Mention-Ranking Coreference Models | Kevin Clark; Christopher D. Manning | EMNLP | 2016 | 28 |
| 435 | Analyzing the Behavior of Visual Question Answering Models | Aishwarya Agrawal; Dhruv Batra; Devi Parikh | EMNLP | 2016 | 28 |
| 436 | Character-Level Question Answering with Attention | Xiaodong He; David Golub | EMNLP | 2016 | 27 |
| 437 | Neural Sentiment Classification with User and Product Attention | Huimin Chen; Maosong Sun; Cunchao Tu; Yankai Lin; Zhiyuan Liu | EMNLP | 2016 | 27 |
| 438 | Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora | William L. Hamilton; Kevin Clark; Jure Leskovec; Daniel Jurafsky | EMNLP | 2016 | 26 |
| 439 | Does String-Based Neural MT Learn Source Syntax? | Xing Shi; Inkit Padhi; Kevin Knight | EMNLP | 2016 | 25 |
| 440 | SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity | Daniela Gerz; Ivan Vulic; Felix Hill; Roi Reichart; Anna Korhonen | EMNLP | 2016 | 25 |
| 441 | How Transferable are Neural Networks in NLP Applications? | Lili Mou; Zhao Meng; Rui Yan; Ge Li; Yan Xu; Lu Zhang; Zhi Jin | EMNLP | 2016 | 25 |
| 442 | Neural Architectures for Named Entity Recognition | Guillaume Lample; Miguel Ballesteros; Sandeep Subramanian; Kazuya Kawakami; Chris Dyer | HLT-NAACL | 2016 | 275 |
| 443 | Hierarchical Attention Networks for Document Classification | Zichao Yang; Diyi Yang; Chris Dyer; Xiaodong He; Alexander J. Smola; Eduard H. Hovy | HLT-NAACL | 2016 | 184 |
| 444 | Learning to Compose Neural Networks for Question Answering | Jacob Andreas; Marcus Rohrbach; Trevor Darrell; Dan Klein | HLT-NAACL | 2016 | 141 |
| 445 | A Diversity-Promoting Objective Function for Neural Conversation Models | Jiwei Li; Michel Galley; Chris Brockett; Jianfeng Gao; William B. Dolan | HLT-NAACL | 2016 | 123 |
| 446 | Visualizing and Understanding Neural Models in NLP | Jiwei Li; Xinlei Chen; Eduard H. Hovy; Daniel Jurafsky | HLT-NAACL | 2016 | 99 |
| 447 | Learning Natural Language Inference with LSTM | Shuohang Wang; Jing Jiang | HLT-NAACL | 2016 | 88 |
| 448 | Learning Distributed Representations of Sentences from Unlabelled Data | Felix Hill; Kyunghyun Cho; Anna Korhonen | HLT-NAACL | 2016 | 86 |
| 449 | Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism | Orhan Firat; Kyunghyun Cho; Yoshua Bengio | HLT-NAACL | 2016 | 81 |
| 450 | Recurrent Neural Network Grammars | Chris Dyer; Adhiguna Kuncoro; Miguel Ballesteros; Noah A. Smith | HLT-NAACL | 2016 | 71 |
| 451 | Abstractive Sentence Summarization with Attentive Recurrent Neural Networks | Sumit Chopra; Michael Auli; Alexander M. Rush | HLT-NAACL | 2016 | 70 |
| 452 | Incorporating Structural Alignment Biases into an Attentional Neural Translation Model | Trevor Cohn; Cong Duy Vu Hoang; Ekaterina Vymolova; Kaisheng Yao; Chris Dyer; Gholamreza Haffari | HLT-NAACL | 2016 | 56 |
| 453 | Multilingual Language Processing From Bytes | Daniel Gillick; Cliff Brunk; Oriol Vinyals; Amarnag Subramanya | HLT-NAACL | 2016 | 52 |
| 454 | Multi-Source Neural Translation | Barret Zoph; Kevin Knight | HLT-NAACL | 2016 | 50 |
| 455 | Morphological Inflection Generation Using Character Sequence to Sequence Learning | Manaal Faruqui; Yulia Tsvetkov; Graham Neubig; Chris Dyer | HLT-NAACL | 2016 | 45 |
| 456 | Counter-fitting Word Vectors to Linguistic Constraints | Nikola Mrksic; Diarmuid Ó Séaghdha; Blaise Thomson; Milica Gasic; Lina Maria Rojas-Barahona; Pei-hao Su; David Vandyke; Tsung-Hsien Wen; Steve J. Young | HLT-NAACL | 2016 | 40 |
| 457 | What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment | Hongyuan Mei; Mohit Bansal; Matthew R. Walter | HLT-NAACL | 2016 | 38 |
| 458 | Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks | Ji Young Lee; Franck Dernoncourt | HLT-NAACL | 2016 | 37 |
| 459 | Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement | Hua He; Jimmy J. Lin | HLT-NAACL | 2016 | 35 |
| 460 | Building Chinese Affective Resources in Valence-Arousal Dimensions | Liang-Chih Yu; Lung-Hao Lee; Shuai Hao; Jin Wang; Yunchao He; Jun Hu; K. Robert Lai; Xue-Jie Zhang | HLT-NAACL | 2016 | 35 |
| 461 | A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories | Nasrin Mostafazadeh; Nathanael Chambers; Xiaodong He; Devi Parikh; Dhruv Batra; Lucy Vanderwende; Pushmeet Kohli; James F. Allen | HLT-NAACL | 2016 | 35 |
| 462 | Multi-domain Neural Network Language Generation for Spoken Dialogue Systems | Tsung-Hsien Wen; Milica Gasic; Nikola Mrksic; Lina Maria Rojas-Barahona; Pei-hao Su; David Vandyke; Steve J. Young | HLT-NAACL | 2016 | 35 |
| 463 | Emergent: a novel data-set for stance classification | William Ferreira; Andreas Vlachos | HLT-NAACL | 2016 | 34 |
| 464 | Multilingual Relation Extraction using Compositional Universal Schema | Patrick Verga; David Belanger; Emma Strubell; Benjamin Roth; Andrew McCallum | HLT-NAACL | 2016 | 31 |
| 465 | Improving sentence compression by learning to predict gaze | Sigrid Klerke; Yoav Goldberg; Anders Søgaard | HLT-NAACL | 2016 | 30 |
| 466 | Combining Recurrent and Convolutional Neural Networks for Relation Classification | Ngoc Thang Vu; Heike Adel; Pankaj Gupta; Hinrich Schütze | HLT-NAACL | 2016 | 26 |
| 467 | Learning Global Features for Coreference Resolution | Sam Wiseman; Alexander M. Rush; Stuart M. Shieber | HLT-NAACL | 2016 | 26 |
| 468 | Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking | Kateryna Tymoshenko; Daniele Bonadiman; Alessandro Moschitti | HLT-NAACL | 2016 | 25 |
| 469 | Semi-supervised Question Retrieval with Gated Convolutions | Tao Lei; Hrishikesh Joshi; Regina Barzilay; Tommi S. Jaakkola; Kateryna Tymoshenko; Alessandro Moschitti; Lluís Màrquez i Villodre | HLT-NAACL | 2016 | 25 |
| 470 | The Role of Context Types and Dimensionality in Learning Word Embeddings | Oren Melamud; David McClosky; Siddharth Patwardhan; Mohit Bansal | HLT-NAACL | 2016 | 25 |
| 471 | Top-down Tree Long Short-Term Memory Networks | Xingxing Zhang; Liang Lu; Mirella Lapata | HLT-NAACL | 2016 | 24 |
| 472 | Named Entity Recognition with Bidirectional LSTM-CNNs | Jason P. C. Chiu; Eric Nichols | TACL | 2016 | 118 |
| 473 | ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs | Wenpeng Yin; Hinrich Schütze; Bing Xiang; Bowen Zhou | TACL | 2016 | 113 |
| 474 | Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations | Eliyahu Kiperwasser; Yoav Goldberg | TACL | 2016 | 103 |
| 475 | Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation | Jie Zhou; Ying Cao; Xuguang Wang; Peng Li; Wei Xu | TACL | 2016 | 49 |
| 476 | Many Languages, One Parser | Waleed Ammar; George Mulcaire; Miguel Ballesteros; Chris Dyer; Noah A. Smith | TACL | 2016 | 32 |
| 477 | Learning to Understand Phrases by Embedding the Dictionary | Felix Hill; Kyunghyun Cho; Anna Korhonen; Yoshua Bengio | TACL | 2016 | 32 |
| 478 | Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies | Tal Linzen; Emmanuel Dupoux; Yoav Goldberg | TACL | 2016 | 31 |
| 479 | Transforming Dependency Structures to Logical Forms for Semantic Parsing | Siva Reddy; Oscar Täckström; Michael Collins; Tom Kwiatkowski; Dipanjan Das; Mark Steedman; Mirella Lapata | TACL | 2016 | 30 |
| 480 | Easy-First Dependency Parsing with Hierarchical Tree LSTMs | Eliyahu Kiperwasser; Yoav Goldberg | TACL | 2016 | 22 |
| 481 | Multilingual Projection for Parsing Truly Low-Resource Languages | Zeljko Agic; Anders Johannsen; Barbara Plank; Héctor Martínez Alonso; Natalie Schluter; Anders Søgaard | TACL | 2016 | 20 |
| 482 | Optimizing Statistical Machine Translation for Text Simplification | Wei Xu; Courtney Napoles; Ellie Pavlick; Quanze Chen; Chris Callison-Burch | TACL | 2016 | 19 |
| 483 | A Bayesian Model of Diachronic Meaning Change | Lea Frermann; Mirella Lapata | TACL | 2016 | 16 |
| 484 | An Empirical Analysis of Formality in Online Communication | Ellie Pavlick; Joel R. Tetreault | TACL | 2016 | 16 |
| 485 | A Latent Variable Model Approach to PMI-based Word Embeddings | Sanjeev Arora; Yuanzhi Li; Yingyu Liang; Tengyu Ma; Andrej Risteski | TACL | 2016 | 14 |
| 486 | Reassessing the Goals of Grammatical Error Correction: Fluency Instead of Grammaticality | Keisuke Sakaguchi; Courtney Napoles; Matt Post; Joel R. Tetreault | TACL | 2016 | 13 |
| 487 | Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health | Tim Althoff; Kevin Clark; Jure Leskovec | TACL | 2016 | 11 |
| 488 | Word Embeddings as Metric Recovery in Semantic Spaces | Tatsunori B. Hashimoto; David Alvarez-Melis; Tommi S. Jaakkola | TACL | 2016 | 9 |
| 489 | Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States | Ashish Vaswani; Kenji Sagae | TACL | 2016 | 7 |
| 490 | Encoding Prior Knowledge with Eigenword Embeddings | Dominique Osborne; Shashi Narayan; Shay B. Cohen | TACL | 2016 | 7 |
| 491 | J-NERD: Joint Named Entity Recognition and Disambiguation with Rich Linguistic Features | Dat Ba Nguyen; Martin Theobald; Gerhard Weikum | TACL | 2016 | 6 |
| 492 | Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations | Diego Marcheggiani; Ivan Titov | TACL | 2016 | 6 |
| 493 | Morpho-syntactic Lexicon Generation Using Graph-based Semi-supervised Learning | Manaal Faruqui; Ryan T. McDonald; Radu Soricut | TACL | 2016 | 6 |
| 494 | Learning Tier-based Strictly 2-Local Languages | Adam Jardine; Jeffrey Heinz | TACL | 2016 | 5 |
| 495 | Concept Grounding to Multiple Knowledge Bases via Indirect Supervision | Chen-Tse Tsai; Dan Roth | TACL | 2016 | 5 |
| 496 | Unsupervised Part-Of-Speech Tagging with Anchor Hidden Markov Models | Karl Stratos; Michael Collins; Daniel J. Hsu | TACL | 2016 | 5 |
| 497 | Multi-lingual Dependency Parsing Evaluation: a Large-scale Analysis of Word Order Properties using Artificial Data | Kristina Gulordava; Paola Merlo | TACL | 2016 | 5 |
| 498 | A Joint Model for Answer Sentence Ranking and Answer Extraction | Md. Arafat Sultan; Vittorio Castelli; Radu Florian | TACL | 2016 | 5 |
| 499 | Minimally Supervised Number Normalization | Kyle Gorman; Richard Sproat | TACL | 2016 | 4 |
| 500 | Sparse Non-negative Matrix Language Modeling | Joris Pelemans; Noam Shazeer; Ciprian Chelba | TACL | 2016 | 4 |
| 501 | Detecting Cross-cultural Differences Using a Multilingual Topic Model | E. Dario Gutiérrez; Ekaterina Shutova; Patricia Lichtenstein; Gerard de Melo; Luca Gilardi | TACL | 2016 | 4 |
| 502 | Character-Aware Neural Language Models | Yoon Kim; Yacine Jernite; David Sontag; Alexander M. Rush | AAAI | 2016 | 327 |
| 503 | Deep Reinforcement Learning with Double Q-Learning | Hado van Hasselt; Arthur Guez; David Silver | AAAI | 2016 | 259 |
| 504 | Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models | Iulian Serban; Alessandro Sordoni; Yoshua Bengio; Aaron C. Courville; Joelle Pineau | AAAI | 2016 | 179 |
| 505 | Return of Frustratingly Easy Domain Adaptation | Baochen Sun; Jiashi Feng; Kate Saenko | AAAI | 2016 | 101 |
| 506 | Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks | Wentao Zhu; Cuiling Lan; Junliang Xing; Wenjun Zeng; Yanghao Li; Li Shen; Xiaohui Xie | AAAI | 2016 | 85 |
| 507 | Holographic Embeddings of Knowledge Graphs | Maximilian Nickel; Lorenzo Rosasco; Tomaso A. Poggio | AAAI | 2016 | 85 |
| 508 | Learning to Answer Questions from Image Using Convolutional Neural Network | Lin Ma; Zhengdong Lu; Hang Li | AAAI | 2016 | 77 |
| 509 | Recognizing Complex Activities by a Probabilistic Interval-Based Model | Li Liu; Li Cheng; Ye Liu; Yongpo Jia; David S. Rosenblum | AAAI | 2016 | 73 |
| 510 | Siamese Recurrent Architectures for Learning Sentence Similarity | Jonas Mueller; Aditya Thyagarajan | AAAI | 2016 | 56 |
| 511 | VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback | Ruining He; Julian McAuley | AAAI | 2016 | 54 |
| 512 | Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks | Peter Ondruska; Ingmar Posner | AAAI | 2016 | 54 |
| 513 | Deep Hashing Network for Efficient Similarity Retrieval | Han Zhu; Mingsheng Long; Jianmin Wang; Yue Cao | AAAI | 2016 | 53 |
| 514 | Convolutional Neural Networks over Tree Structures for Programming Language Processing | Lili Mou; Ge Li; Lu Zhang; Tao Wang; Zhi Jin | AAAI | 2016 | 48 |
| 515 | Column Sampling Based Discrete Supervised Hashing | Wang-Cheng Kang; Wu-Jun Li; Zhi-Hua Zhou | AAAI | 2016 | 45 |
| 516 | General Video Game AI: Competition, Challenges and Opportunities | Diego Perez Liebana; Spyridon Samothrakis; Julian Togelius; Tom Schaul; Simon M. Lucas | AAAI | 2016 | 42 |
| 517 | Reading Scene Text in Deep Convolutional Sequences | Pan He; Weilin Huang; Yu Qiao; Chen Change Loy; Xiaoou Tang | AAAI | 2016 | 40 |
| 518 | Deep Neural Networks for Learning Graph Representations | Shaosheng Cao; Wei Lu; Qiongkai Xu | AAAI | 2016 | 39 |
| 519 | Fortune Teller: Predicting Your Career Path | Ye Liu; Luming Zhang; Liqiang Nie; Yan Yan; David S. Rosenblum | AAAI | 2016 | 39 |
| 520 | Text Matching as Image Recognition | Liang Pang; Yanyan Lan; Jiafeng Guo; Jun Xu; Shengxian Wan; Xueqi Cheng | AAAI | 2016 | 39 |
| 521 | Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts | Qiang Liu; Shu Wu; Liang Wang; Tieniu Tan | AAAI | 2016 | 38 |
| 522 | Representation Learning of Knowledge Graphs with Entity Descriptions | Ruobing Xie; Zhiyuan Liu; Jia Jia; Huanbo Luan; Maosong Sun | AAAI | 2016 | 37 |
| 523 | Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences | Hongyuan Mei; Mohit Bansal; Matthew R. Walter | AAAI | 2016 | 35 |
| 524 | Deep Learning with S-Shaped Rectified Linear Activation Units | Xiaojie Jin; Chunyan Xu; Jiashi Feng; Yunchao Wei; Junjun Xiong; Shuicheng Yan | AAAI | 2016 | 35 |
| 525 | The Constrained Laplacian Rank Algorithm for Graph-Based Clustering | Feiping Nie; Xiaoqian Wang; Michael I. Jordan; Heng Huang | AAAI | 2016 | 34 |
| 526 | Deep Contextual Networks for Neuronal Structure Segmentation | Hao Chen; Xiaojuan Qi; Jie-Zhi Cheng; Pheng-Ann Heng | AAAI | 2016 | 32 |
| 527 | A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations | Shengxian Wan; Yanyan Lan; Jiafeng Guo; Jun Xu; Liang Pang; Xueqi Cheng | AAAI | 2016 | 31 |
| 528 | Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks | Chunyuan Li; Changyou Chen; David E. Carlson; Lawrence Carin | AAAI | 2016 | 29 |
| 529 | Implicit Discourse Relation Classification via Multi-Task Neural Networks | Yang Liu; Sujian Li; Xiaodong Zhang; Zhifang Sui | AAAI | 2016 | 28 |
| 530 | Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security | Fei Fang; Thanh Hong Nguyen; Rob Pickles; Wai Y. Lam; Gopalasamy R. Clements; Bo An; Amandeep Singh; Milind Tambe; Andrew Lemieux | AAAI | 2016 | 28 |
| 531 | Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions | Peter Clark; Oren Etzioni; Tushar Khot; Ashish Sabharwal; Oyvind Tafjord; Peter D. Turney; Daniel Khashabi | AAAI | 2016 | 28 |
| 532 | Value Iteration Networks | Aviv Tamar; Yi Wu; Garrett Thomas; Sergey Levine; Pieter Abbeel | IJCAI | 2016 | 80 |
| 533 | Feature Learning Based Deep Supervised Hashing with Pairwise Labels | Wu-Jun Li; Sheng Wang; Wang-Cheng Kang | IJCAI | 2016 | 63 |
| 534 | Urban Water Quality Prediction Based on Multi-Task Multi-View Learning | Ye Liu; Yu Zheng; Yuxuan Liang; Shuming Liu; David S. Rosenblum | IJCAI | 2016 | 51 |
| 535 | Deep, Convolutional, and Recurrent Models for Human Activity Recognition Using Wearables | Nils Y. Hammerla; Shane Halloran; Thomas Plötz | IJCAI | 2016 | 49 |
| 536 | The Malmo Platform for Artificial Intelligence Experimentation | Matthew Johnson; Katja Hofmann; Tim Hutton; David Bignell | IJCAI | 2016 | 43 |
| 537 | Recurrent Neural Network for Text Classification with Multi-Task Learning | Pengfei Liu; Xipeng Qiu; Xuanjing Huang | IJCAI | 2016 | 37 |
| 538 | Model-Based Deep Hand Pose Estimation | Xingyi Zhou; Qingfu Wan; Wei Zhang; Xiangyang Xue; Yichen Wei | IJCAI | 2016 | 31 |
| 539 | Neural Generative Question Answering | Jun Yin; Xin Jiang; Zhengdong Lu; Lifeng Shang; Hang Li; Xiaoming Li | IJCAI | 2016 | 30 |
| 540 | Tri-Party Deep Network Representation | Shirui Pan; Jia Wu; Xingquan Zhu; Chengqi Zhang; Yang Wang | IJCAI | 2016 | 29 |
| 541 | Staleness-Aware Async-SGD for Distributed Deep Learning | Wei Zhang; Suyog Gupta; Xiangru Lian; Ji Liu | IJCAI | 2016 | 25 |
| 542 | Max-Margin DeepWalk: Discriminative Learning of Network Representation | Cunchao Tu; Weicheng Zhang; Zhiyuan Liu; Maosong Sun | IJCAI | 2016 | 25 |
| 543 | Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems | Clemens Eppner; Sebastian Höfer; Rico Jonschkowski; Roberto Martín-Martín; Arne Sieverling; Vincent Wall; Oliver Brock | IJCAI | 2016 | 25 |
| 544 | Detecting Rumors from Microblogs with Recurrent Neural Networks | Jing Ma; Wei Gao; Prasenjit Mitra; Sejeong Kwon; Bernard J. Jansen; Kam-Fai Wong; Meeyoung Cha | IJCAI | 2016 | 25 |
| 545 | Towards Zero Unknown Word in Neural Machine Translation | Xiaoqing Li; Jiajun Zhang; Chengqing Zong | IJCAI | 2016 | 21 |
| 546 | Randomized Social Choice Functions under Metric Preferences | Elliot Anshelevich; John Postl | IJCAI | 2016 | 21 |
| 547 | Question Answering via Integer Programming over Semi-Structured Knowledge | Daniel Khashabi; Tushar Khot; Ashish Sabharwal; Peter Clark; Oren Etzioni; Dan Roth | IJCAI | 2016 | 21 |
| 548 | Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering | Yang Wang; Wenjie Zhang; Lin Wu; Xuemin Lin; Meng Fang; Shirui Pan | IJCAI | 2016 | 20 |
| 549 | Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy" | Jesse Thomason; Jivko Sinapov; Maxwell Svetlik; Peter Stone; Raymond J. Mooney | IJCAI | 2016 | 19 |
| 550 | 3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector | Chen Chen; Mengyuan Liu; Baochang Zhang; Jungong Han; Junjun Jiang; Hong Liu | IJCAI | 2016 | 19 |
| 551 | Plan Recognition as Planning Revisited | Shirin Sohrabi; Anton Riabov; Octavian Udrea | IJCAI | 2016 | 18 |
| 552 | Verbalization: Narration of Autonomous Robot Experience | Stephanie Rosenthal; Sai P. Selvaraj; Manuela M. Veloso | IJCAI | 2016 | 18 |
| 553 | Deep Subspace Clustering with Sparsity Prior | Xi Peng; Shijie Xiao; Jiashi Feng; Wei-Yun Yau; Zhang Yi | IJCAI | 2016 | 18 |
| 554 | Agreement-Based Joint Training for Bidirectional Attention-Based Neural Machine Translation | Yong Cheng; Shiqi Shen; Zhongjun He; Wei He; Hua Wu; Maosong Sun; Yang Liu | IJCAI | 2016 | 17 |
| 555 | Deep Semantic-Preserving and Ranking-Based Hashing for Image Retrieval | Ting Yao; Fuchen Long; Tao Mei; Yong Rui | IJCAI | 2016 | 17 |
| 556 | Text-Enhanced Representation Learning for Knowledge Graph | Zhigang Wang; Juan-Zi Li | IJCAI | 2016 | 17 |
| 557 | Subset Selection via Implicit Utilitarian Voting | Ioannis Caragiannis; Swaprava Nath; Ariel D. Procaccia; Nisarg Shah | IJCAI | 2016 | 15 |
| 558 | Committee Scoring Rules: Axiomatic Classification and Hierarchy | Piotr Faliszewski; Piotr Skowron; Arkadii M. Slinko; Nimrod Talmon | IJCAI | 2016 | 15 |
| 559 | Improved Solvers for Bounded-Suboptimal Multi-Agent Path Finding | Liron Cohen; Tansel Uras; T. K. Satish Kumar; Hong Xu; Nora Ayanian; Sven Koenig | IJCAI | 2016 | 14 |
| 560 | Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-Paced Curriculum Learning | Dingwen Zhang; Deyu Meng; Long Zhao; Junwei Han | IJCAI | 2016 | 14 |
| 561 | Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks | Zhen Li; Yizhou Yu | IJCAI | 2016 | 14 |
| 562 | Improved Techniques for Training GANs | Tim Salimans; Ian J. Goodfellow; Wojciech Zaremba; Vicki Cheung; Alec Radford; Xi Chen | NIPS | 2016 | 598 |
| 563 | InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets | Xi Chen; Yan Duan; Rein Houthooft; John Schulman; Ilya Sutskever; Pieter Abbeel | NIPS | 2016 | 317 |
| 564 | R-FCN: Object Detection via Region-based Fully Convolutional Networks | Jifeng Dai; Yi Li; Kaiming He; Jian Sun | NIPS | 2016 | 286 |
| 565 | A Theoretically Grounded Application of Dropout in Recurrent Neural Networks | Yarin Gal; Zoubin Ghahramani | NIPS | 2016 | 211 |
| 566 | Binarized Neural Networks | Itay Hubara; Matthieu Courbariaux; Daniel Soudry; Ran El-Yaniv; Yoshua Bengio | NIPS | 2016 | 206 |
| 567 | Conditional Image Generation with PixelCNN Decoders | Aäron van den Oord; Nal Kalchbrenner; Lasse Espeholt; Koray Kavukcuoglu; Oriol Vinyals; Alex Graves | NIPS | 2016 | 203 |
| 568 | Matching Networks for One Shot Learning | Oriol Vinyals; Charles Blundell; Tim Lillicrap; Koray Kavukcuoglu; Daan Wierstra | NIPS | 2016 | 177 |
| 569 | f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization | Sebastian Nowozin; Botond Cseke; Ryota Tomioka | NIPS | 2016 | 170 |
| 570 | Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering | Michaël Defferrard; Xavier Bresson; Pierre Vandergheynst | NIPS | 2016 | 158 |
| 571 | Hierarchical Question-Image Co-Attention for Visual Question Answering | Jiasen Lu; Jianwei Yang; Dhruv Batra; Devi Parikh | NIPS | 2016 | 157 |
| 572 | Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks | Tim Salimans; Diederik P. Kingma | NIPS | 2016 | 146 |
| 573 | Generating Videos with Scene Dynamics | Carl Vondrick; Hamed Pirsiavash; Antonio Torralba | NIPS | 2016 | 144 |
| 574 | Learning Structured Sparsity in Deep Neural Networks | Wei Wen; Chunpeng Wu; Yandan Wang; Yiran Chen; Hai Li | NIPS | 2016 | 136 |
| 575 | Coupled Generative Adversarial Networks | Ming-Yu Liu; Oncel Tuzel | NIPS | 2016 | 127 |
| 576 | Generating Images with Perceptual Similarity Metrics based on Deep Networks | Alexey Dosovitskiy; Thomas Brox | NIPS | 2016 | 118 |
| 577 | Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling | Jiajun Wu; Chengkai Zhang; Tianfan Xue; Bill Freeman; Joshua B. Tenenbaum | NIPS | 2016 | 116 |
| 578 | Learning to learn by gradient descent by gradient descent | Marcin Andrychowicz; Misha Denil; Sergio Gomez Colmenarejo; Matthew W. Hoffman; David Pfau; Tom Schaul; Nando de Freitas | NIPS | 2016 | 114 |
| 579 | Unsupervised Learning for Physical Interaction through Video Prediction | Chelsea Finn; Ian J. Goodfellow; Sergey Levine | NIPS | 2016 | 113 |
| 580 | Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation | Tejas D. Kulkarni; Karthik Narasimhan; Ardavan Saeedi; Joshua B. Tenenbaum | NIPS | 2016 | 112 |
| 581 | Deep Learning without Poor Local Minima | Kenji Kawaguchi | NIPS | 2016 | 100 |
| 582 | Equality of Opportunity in Supervised Learning | Moritz Hardt; Eric Price; Nathan Srebro | NIPS | 2016 | 99 |
| 583 | Unifying Count-Based Exploration and Intrinsic Motivation | Marc G. Bellemare; Sriram Srinivasan; Georg Ostrovski; Tom Schaul; David Saxton; Rémi Munos | NIPS | 2016 | 92 |
| 584 | Generative Adversarial Imitation Learning | Jonathan Ho; Stefano Ermon | NIPS | 2016 | 91 |
| 585 | Deep Exploration via Bootstrapped DQN | Ian Osband; Charles Blundell; Alexander Pritzel; Benjamin Van Roy | NIPS | 2016 | 88 |
| 586 | Residual Networks Behave Like Ensembles of Relatively Shallow Networks | Andreas Veit; Michael J. Wilber; Serge J. Belongie | NIPS | 2016 | 86 |
| 587 | Domain Separation Networks | Konstantinos Bousmalis; George Trigeorgis; Nathan Silberman; Dilip Krishnan; Dumitru Erhan | NIPS | 2016 | 84 |
| 588 | Matrix Completion has No Spurious Local Minimum | Rong Ge; Jason D. Lee; Tengyu Ma | NIPS | 2016 | 83 |
| 589 | Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks | Tianfan Xue; Jiajun Wu; Katherine L. Bouman; Bill Freeman | NIPS | 2016 | 81 |
| 590 | Learning to Poke by Poking: Experiential Learning of Intuitive Physics | Pulkit Agrawal; Ashvin Nair; Pieter Abbeel; Jitendra Malik; Sergey Levine | NIPS | 2016 | 77 |
| 591 | Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections | Xiao-Jiao Mao; Chunhua Shen; Yu-Bin Yang | NIPS | 2016 | 77 |
| 592 | Asynchronous Methods for Deep Reinforcement Learning | Volodymyr Mnih; Adrià Puigdomènech Badia; Mehdi Mirza; Alex Graves; Timothy P. Lillicrap; Tim Harley; David Silver; Koray Kavukcuoglu | ICML | 2016 | 504 |
| 593 | Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin | Dario Amodei; Rishita Anubhai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates; Greg Diamos; Erich Elsen; Jesse Engel; Linxi Fan; Christopher Fougner; Awni Y. Hannun; Billy Jun; Tony Han; Patrick LeGresley; Xiangang Li; Libby Lin; Sharan Narang; Andrew Y. Ng; Sherjil Ozair; Ryan Prenger; Sheng Qian; Jonathan Raiman; Sanjeev Satheesh; David Seetapun; Shubho Sengupta; Chong Wang; Yi Wang; Zhiqian Wang; Bo Xiao; Yan Xie; Dani Yogatama; Jun Zhan; Zhenyao Zhu | ICML | 2016 | 331 |
| 594 | Generative Adversarial Text to Image Synthesis | Scott E. Reed; Zeynep Akata; Xinchen Yan; Lajanugen Logeswaran; Bernt Schiele; Honglak Lee | ICML | 2016 | 290 |
| 595 | Pixel Recurrent Neural Networks | Aäron van den Oord; Nal Kalchbrenner; Koray Kavukcuoglu | ICML | 2016 | 282 |
| 596 | Ask Me Anything: Dynamic Memory Networks for Natural Language Processing | Ankit Kumar; Ozan Irsoy; Peter Ondruska; Mohit Iyyer; James Bradbury; Ishaan Gulrajani; Victor Zhong; Romain Paulus; Richard Socher | ICML | 2016 | 253 |
| 597 | Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning | Yarin Gal; Zoubin Ghahramani | ICML | 2016 | 228 |
| 598 | Autoencoding beyond pixels using a learned similarity metric | Anders Boesen Lindbo Larsen; Søren Kaae Sønderby; Hugo Larochelle; Ole Winther | ICML | 2016 | 196 |
| 599 | Dynamic Memory Networks for Visual and Textual Question Answering | Caiming Xiong; Stephen Merity; Richard Socher | ICML | 2016 | 180 |
| 600 | Benchmarking Deep Reinforcement Learning for Continuous Control | Yan Duan; Xi Chen; Rein Houthooft; John Schulman; Pieter Abbeel | ICML | 2016 | 172 |
| 601 | Dueling Network Architectures for Deep Reinforcement Learning | Ziyu Wang; Tom Schaul; Matteo Hessel; Hado van Hasselt; Marc Lanctot; Nando de Freitas | ICML | 2016 | 157 |
| 602 | Texture Networks: Feed-forward Synthesis of Textures and Stylized Images | Dmitry Ulyanov; Vadim Lebedev; Andrea Vedaldi; Victor S. Lempitsky | ICML | 2016 | 131 |
| 603 | Learning Convolutional Neural Networks for Graphs | Mathias Niepert; Mohamed Ahmed; Konstantin Kutzkov | ICML | 2016 | 121 |
| 604 | Train faster, generalize better: Stability of stochastic gradient descent | Moritz Hardt; Benjamin Recht; Yoram Singer | ICML | 2016 | 118 |
| 605 | Continuous Deep Q-Learning with Model-based Acceleration | Shixiang Gu; Timothy P. Lillicrap; Ilya Sutskever; Sergey Levine | ICML | 2016 | 102 |
| 606 | Auxiliary Deep Generative Models | Lars Maaløe; Casper Kaae Sønderby; Søren Kaae Sønderby; Ole Winther | ICML | 2016 | 95 |
| 607 | Neural Variational Inference for Text Processing | Yishu Miao; Lei Yu; Phil Blunsom | ICML | 2016 | 81 |
| 608 | Revisiting Semi-Supervised Learning with Graph Embeddings | Zhilin Yang; William W. Cohen; Ruslan Salakhutdinov | ICML | 2016 | 79 |
| 609 | Low-rank Solutions of Linear Matrix Equations via Procrustes Flow | Stephen Tu; Ross Boczar; Max Simchowitz; Mahdi Soltanolkotabi; Benjamin Recht | ICML | 2016 | 78 |
| 610 | Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization | Chelsea Finn; Sergey Levine; Pieter Abbeel | ICML | 2016 | 73 |
| 611 | Learning Physical Intuition of Block Towers by Example | Adam Lerer; Sam Gross; Rob Fergus | ICML | 2016 | 71 |
| 612 | Unitary Evolution Recurrent Neural Networks | Martín Arjovsky; Amar Shah; Yoshua Bengio | ICML | 2016 | 71 |
| 613 | Group Equivariant Convolutional Networks | Taco Cohen; Max Welling | ICML | 2016 | 70 |
| 614 | Unsupervised Deep Embedding for Clustering Analysis | Junyuan Xie; Ross B. Girshick; Ali Farhadi | ICML | 2016 | 67 |
| 615 | Stochastic Variance Reduction for Nonconvex Optimization | Sashank J. Reddi; Ahmed Hefny; Suvrit Sra; Barnabás Póczos; Alexander J. Smola | ICML | 2016 | 67 |
| 616 | Variance Reduction for Faster Non-Convex Optimization | Zeyuan Allen Zhu; Elad Hazan | ICML | 2016 | 66 |
| 617 | CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy | Ran Gilad-Bachrach; Nathan Dowlin; Kim Laine; Kristin E. Lauter; Michael Naehrig; John Robert Wernsing | ICML | 2016 | 66 |
| 618 | Fixed Point Quantization of Deep Convolutional Networks | Darryl Dexu Lin; Sachin S. Talathi; V. Sreekanth Annapureddy | ICML | 2016 | 63 |
| 619 | Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units | Wenling Shang; Kihyuk Sohn; Diogo Almeida; Honglak Lee | ICML | 2016 | 54 |
| 620 | One-Shot Generalization in Deep Generative Models | Danilo Jimenez Rezende; Shakir Mohamed; Ivo Danihelka; Karol Gregor; Daan Wierstra | ICML | 2016 | 52 |
| 621 | Meta-Learning with Memory-Augmented Neural Networks | Adam Santoro; Sergey Bartunov; Matthew Botvinick; Daan Wierstra; Timothy P. Lillicrap | ICML | 2016 | 51 |
| 622 | Theano: A Python framework for fast computation of mathematical expressions | Rami Al-Rfou'; Guillaume Alain; Amjad Almahairi; Christof Angermüller; Dzmitry Bahdanau; Nicolas Ballas; Frédéric Bastien; Justin Bayer; Anatoly Belikov; Alexander Belopolsky; Yoshua Bengio; Arnaud Bergeron; James Bergstra; Valentin Bisson; Josh Bleecher Snyder; Nicolas Bouchard; Nicolas Boulanger-Lewandowski; Xavier Bouthillier; Alexandre de Brébisson; Olivier Breuleux; Pierre Luc Carrier; Kyunghyun Cho; Jan Chorowski; Paul F. Christiano; Tim Cooijmans; Marc-Alexandre Côté; Myriam Côté; Aaron C. Courville; Yann Dauphin; Olivier Delalleau; Julien Demouth; Guillaume Desjardins; Sander Dieleman; Laurent Dinh; Melanie Ducoffe; Vincent Dumoulin; Samira Ebrahimi Kahou; Dumitru Erhan; Ziye Fan; Orhan Firat; Mathieu Germain; Xavier Glorot; Ian J. Goodfellow; Matthew Graham; Çaglar Gülçehre; Philippe Hamel; Iban Harlouchet; Jean-Philippe Heng; Balázs Hidasi; Sina Honari; Arjun Jain; Sébastien Jean; Kai Jia; Mikhail Korobov; Vivek Kulkarni; Alex Lamb; Pascal Lamblin; Eric Larsen; César Laurent; Sean Lee; Simon Lefrançois; Simon Lemieux; Nicholas Léonard; Zhouhan Lin; Jesse A. Livezey; Cory Lorenz; Jeremiah Lowin; Qianli Ma; Pierre-Antoine Manzagol; Olivier Mastropietro; Robert McGibbon; Roland Memisevic; Bart van Merrienboer; Vincent Michalski; Mehdi Mirza; Alberto Orlandi; Christopher Joseph Pal; Razvan Pascanu; Mohammad Pezeshki; Colin Raffel; Daniel Renshaw; Matthew Rocklin; Adriana Romero; Markus Roth; Peter Sadowski; John Salvatier; François Savard; Jan Schlüter; John Schulman; Gabriel Schwartz; Iulian Serban; Dmitriy Serdyuk; Samira Shabanian; Étienne Simon; Sigurd Spieckermann; S. Ramana Subramanyam; Jakub Sygnowski; Jérémie Tanguay; Gijs van Tulder; Joseph P. Turian; Sebastian Urban; Pascal Vincent; Francesco Visin; Harm de Vries; David Warde-Farley; Dustin J. Webb; Matthew Willson; Kelvin Xu; Lijun Xue; Li Yao; Saizheng Zhang; Ying Zhang | ArXiv | 2016 | 436 |
| 623 | Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation | Yonghui Wu; Mike Schuster; Zhifeng Chen; Quoc V. Le; Mohammad Norouzi; Wolfgang Macherey; Maxim Krikun; Yuan Cao; Qin Gao; Klaus Macherey; Jeff Klingner; Apurva Shah; Melvin Johnson; Xiaobing Liu; Lukasz Kaiser; Stephan Gouws; Yoshikiyo Kato; Taku Kudo; Hideto Kazawa; Keith Stevens; George Kurian; Nishant Patil; Wei Wang; Cliff Young; Jason Smith; Jason Riesa; Alex Rudnick; Oriol Vinyals; Gregory S. Corrado; Macduff Hughes; Jeffrey Dean | ArXiv | 2016 | 293 |
| 624 | Understanding deep learning requires rethinking generalization | Chiyuan Zhang; Samy Bengio; Moritz Hardt; Benjamin Recht; Oriol Vinyals | ArXiv | 2016 | 243 |
| 625 | Energy-based Generative Adversarial Network | Junbo Jake Zhao; Michaël Mathieu; Yann LeCun | ArXiv | 2016 | 204 |
| 626 | SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size | Forrest N. Iandola; Matthew W. Moskewicz; Khalid Ashraf; Song Han; William J. Dally; Kurt Keutzer | ArXiv | 2016 | 203 |
| 627 | End to End Learning for Self-Driving Cars | Mariusz Bojarski; Davide Del Testa; Daniel Dworakowski; Bernhard Firner; Beat Flepp; Prasoon Goyal; Lawrence D. Jackel; Mathew Monfort; Urs Muller; Jiakai Zhang; Xin Zhang; Jake Zhao; Karol Zieba | ArXiv | 2016 | 203 |
| 628 | Adversarial examples in the physical world | Alexey Kurakin; Ian J. Goodfellow; Samy Bengio | ArXiv | 2016 | 195 |
| 629 | Exploring the Limits of Language Modeling | Rafal Józefowicz; Oriol Vinyals; Mike Schuster; Noam Shazeer; Yonghui Wu | ArXiv | 2016 | 186 |
| 630 | Adversarial Feature Learning | Jeff Donahue; Philipp Krähenbühl; Trevor Darrell | ArXiv | 2016 | 182 |
| 631 | Semi-Supervised Classification with Graph Convolutional Networks | Thomas N. Kipf; Max Welling | ArXiv | 2016 | 172 |
| 632 | Adversarially Learned Inference | Vincent Dumoulin; Ishmael Belghazi; Ben Poole; Alex Lamb; Martín Arjovsky; Olivier Mastropietro; Aaron C. Courville | ArXiv | 2016 | 167 |
| 633 | Bidirectional Attention Flow for Machine Comprehension | Min Joon Seo; Aniruddha Kembhavi; Ali Farhadi; Hannaneh Hajishirzi | ArXiv | 2016 | 167 |
| 634 | Neural Architecture Search with Reinforcement Learning | Barret Zoph; Quoc V. Le | ArXiv | 2016 | 164 |
| 635 | Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection | Sergey Levine; Peter Pastor; Alex Krizhevsky; Deirdre Quillen | ArXiv | 2016 | 160 |
| 636 | Dynamic Coattention Networks For Question Answering | Caiming Xiong; Victor Zhong; Richard Socher | ArXiv | 2016 | 144 |
| 637 | On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima | Nitish Shirish Keskar; Dheevatsa Mudigere; Jorge Nocedal; Mikhail Smelyanskiy; Ping Tak Peter Tang | ArXiv | 2016 | 144 |
| 638 | Categorical Reparameterization with Gumbel-Softmax | Eric Jang; Shixiang Gu; Ben Poole | ArXiv | 2016 | 140 |
| 639 | Machine Comprehension Using Match-LSTM and Answer Pointer | Shuohang Wang; Jing Jiang | ArXiv | 2016 | 132 |
| 640 | NIPS 2016 Tutorial: Generative Adversarial Networks | Ian J. Goodfellow | ArXiv | 2016 | 129 |
| 641 | Reinforcement Learning with Unsupervised Auxiliary Tasks | Max Jaderberg; Volodymyr Mnih; Wojciech Czarnecki; Tom Schaul; Joel Z. Leibo; David Silver; Koray Kavukcuoglu | ArXiv | 2016 | 129 |
| 642 | Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples | Nicolas Papernot; Patrick D. McDaniel; Ian J. Goodfellow; Somesh Jha; Z. Berkay Celik; Ananthram Swami | ArXiv | 2016 | 127 |
| 643 | BinaryNet: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1 | Matthieu Courbariaux; Yoshua Bengio | ArXiv | 2016 | 122 |
| 644 | YouTube-8M: A Large-Scale Video Classification Benchmark | Sami Abu-El-Haija; Nisarg Kothari; Joonseok Lee; Apostol Natsev; George Toderici; Balakrishnan Varadarajan; Sudheendra Vijayanarasimhan | ArXiv | 2016 | 122 |
| 645 | The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables | Chris J. Maddison; Andriy Mnih; Yee Whye Teh | ArXiv | 2016 | 121 |
| 646 | Unrolled Generative Adversarial Networks | Luke Metz; Ben Poole; David Pfau; Jascha Sohl-Dickstein | ArXiv | 2016 | 116 |
| 647 | Delving into Transferable Adversarial Examples and Black-box Attacks | Yanpei Liu; Xinyun Chen; Chang Liu; Dawn Xiaodong Song | ArXiv | 2016 | 115 |
| 648 | Layer Normalization | Jimmy Ba; Ryan Kiros; Geoffrey E. Hinton | ArXiv | 2016 | 113 |
| 649 | DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients | Shuchang Zhou; Zekun Ni; Xinyu Zhou; He Wen; Yuxin Wu; Yuheng Zou | ArXiv | 2016 | 112 |
| 650 | Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations | Itay Hubara; Matthieu Courbariaux; Daniel Soudry; Ran El-Yaniv; Yoshua Bengio | ArXiv | 2016 | 109 |
| 651 | Achieving Human Parity in Conversational Speech Recognition | Wayne Xiong; Jasha Droppo; Xuedong Huang; Frank Seide; Mike Seltzer; Andreas Stolcke; Dong Yu; Geoffrey Zweig | ArXiv | 2016 | 109 |
| 652 | Collaborative Denoising Auto-Encoders for Top-N Recommender Systems | Yao Wu; Christopher DuBois; Alice X. Zheng; Martin Ester | WSDM | 2016 | 52 |
| 653 | Quantifying Controversy in Social Media | Venkata Rama Kiran Garimella; Gianmarco De Francisci Morales; Aristides Gionis; Michael Mathioudakis | WSDM | 2016 | 42 |
| 654 | Cross-modality Consistent Regression for Joint Visual-Textual Sentiment Analysis of Social Multimedia | Quanzeng You; Jiebo Luo; Hailin Jin; Jianchao Yang | WSDM | 2016 | 23 |
| 655 | Modeling and Predicting Learning Behavior in MOOCs | Jiezhong Qiu; Jie Tang; Tracy Xiao Liu; Jie Gong; Chenhui Zhang; Qian Zhang; Yufei Xue | WSDM | 2016 | 22 |
| 656 | Personalized PageRank Estimation and Search: A Bidirectional Approach | Peter Lofgren; Siddhartha Banerjee; Ashish Goel | WSDM | 2016 | 21 |
| 657 | Information Evolution in Social Networks | Lada A. Adamic; Thomas M. Lento; Eytan Adar; Pauline C. Ng | WSDM | 2016 | 20 |
| 658 | Your Cart tells You: Inferring Demographic Attributes from Purchase Data | Pengfei Wang; Jiafeng Guo; Yanyan Lan; Jun Xu; Xueqi Cheng | WSDM | 2016 | 18 |
| 659 | You've got Mail, and Here is What you Could do With It!: Analyzing and Predicting Actions on Email Messages | Dotan Di Castro; Zohar S. Karnin; Liane Lewin-Eytan; Yoelle Maarek | WSDM | 2016 | 16 |
| 660 | Multileave Gradient Descent for Fast Online Learning to Rank | Anne Schuth; Harrie Oosterhuis; Shimon Whiteson; Maarten de Rijke | WSDM | 2016 | 15 |
| 661 | DiFacto: Distributed Factorization Machines | Mu Li; Ziqi Liu; Alexander J. Smola; Yu-Xiang Wang | WSDM | 2016 | 15 |
| 662 | Project Success Prediction in Crowdfunding Environments | Yan Li; Vineeth Rakesh; Chandan K. Reddy | WSDM | 2016 | 13 |
| 663 | Beyond Ranking: Optimizing Whole-Page Presentation | Yue Wang; Dawei Yin; Luo Jie; Pengyuan Wang; Makoto Yamada; Yi Chang; Qiaozhu Mei | WSDM | 2016 | 13 |
| 664 | Dynamic Collective Entity Representations for Entity Ranking | David Graus; Manos Tsagkias; Wouter Weerkamp; Edgar Meij; Maarten de Rijke | WSDM | 2016 | 13 |
| 665 | Relationship Queries on Extended Knowledge Graphs | Mohamed Yahya; Denilson Barbosa; Klaus Berberich; Qiuyue Wang; Gerhard Weikum | WSDM | 2016 | 13 |
| 666 | Modeling Intransitivity in Matchup and Comparison Data | Shuo Chen; Thorsten Joachims | WSDM | 2016 | 12 |
| 667 | Semantic Documents Relatedness using Concept Graph Representation | Yuan Ni; Qiong Kai Xu; Feng Cao; Yosi Mass; Dafna Sheinwald; Huijia Zhu; Shao Sheng Cao | WSDM | 2016 | 12 |
| 668 | Probabilistic Group Recommendation Model for Crowdfunding Domains | Vineeth Rakesh; Wang-Chien Lee; Chandan K. Reddy | WSDM | 2016 | 12 |
| 669 | Centrality-Aware Link Recommendations | Nikos Parotsidis; Evaggelia Pitoura; Panayiotis Tsaparas | WSDM | 2016 | 11 |
| 670 | Understanding and Measuring User Engagement and Attention in Online News Reading | Dmitry Lagun; Mounia Lalmas | WSDM | 2016 | 11 |
| 671 | The Troll-Trust Model for Ranking in Signed Networks | Zhaoming Wu; Charu C. Aggarwal; Jimeng Sun | WSDM | 2016 | 11 |
| 672 | Learning Distributed Representations of Data in Community Question Answering for Question Retrieval | Kai Zhang; Wei Wu; Fang Wang; Ming Zhou; Zhoujun Li | WSDM | 2016 | 10 |
| 673 | Long-tail Vocabulary Dictionary Extraction from the Web | Zhe Chen; Michael J. Cafarella; H. V. Jagadish | WSDM | 2016 | 10 |
| 674 | Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior | Farshad Kooti; Kristina Lerman; Luca Maria Aiello; Mihajlo Grbovic; Nemanja Djuric; Vladan Radosavljevic | WSDM | 2016 | 10 |
| 675 | Exploiting New Sentiment-Based Meta-level Features for Effective Sentiment Analysis | Sérgio D. Canuto; Marcos André Gonçalves; Fabrício Benevenuto | WSDM | 2016 | 9 |
| 676 | Quality Management in Crowdsourcing using Gold Judges Behavior | Gabriella Kazai; Imed Zitouni | WSDM | 2016 | 9 |
| 677 | Multi-view Machines | Bokai Cao; Hucheng Zhou; Guoqiang Li; Philip S. Yu | WSDM | 2016 | 9 |
| 678 | Crowdsourcing High Quality Labels with a Tight Budget | Qi Li; Fenglong Ma; Jing Gao; Lu Su; Christopher J. Quinn | WSDM | 2016 | 9 |
| 679 | Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model | Simon Bourigault; Sylvain Lamprier; Patrick Gallinari | WSDM | 2016 | 9 |
| 680 | EgoSet: Exploiting Word Ego-networks and User-generated Ontology for Multifaceted Set Expansion | Xin Rong; Zhe Chen; Qiaozhu Mei; Eytan Adar | WSDM | 2016 | 9 |
| 681 | Improving Website Hyperlink Structure Using Server Logs | Ashwin Paranjape; Robert West; Leila Zia; Jure Leskovec | WSDM | 2016 | 8 |
| 682 | Fast Matrix Factorization for Online Recommendation with Implicit Feedback | Xiangnan He; Hanwang Zhang; Min-Yen Kan; Tat-Seng Chua | SIGIR | 2016 | 70 |
| 683 | Discrete Collaborative Filtering | Hanwang Zhang; Fumin Shen; Wei Liu; Xiangnan He; Huanbo Luan; Tat-Seng Chua | SIGIR | 2016 | 38 |
| 684 | GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams | Chao Zhang; Guangyu Zhou; Quan Yuan; Honglei Zhuang; Yu Zheng; Lance M. Kaplan; Shaowen Wang; Jiawei Han | SIGIR | 2016 | 35 |
| 685 | Learning to Respond with Deep Neural Networks for Retrieval-Based Human-Computer Conversation System | Rui Yan; Yiping Song; Hua Wu | SIGIR | 2016 | 33 |
| 686 | Collaborative Filtering Bandits | Shuai Li; Alexandros Karatzoglou; Claudio Gentile | SIGIR | 2016 | 25 |
| 687 | Multi-Rate Deep Learning for Temporal Recommendation | Yang Song; Ali Mamdouh Elkahky; Xiaodong He | SIGIR | 2016 | 24 |
| 688 | Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder | Soroush Vosoughi; Prashanth Vijayaraghavan; Deb Roy | SIGIR | 2016 | 23 |
| 689 | Topic Modeling for Short Texts with Auxiliary Word Embeddings | Chenliang Li; Haoran Wang; Zhiqian Zhang; Aixin Sun; Zongyang Ma | SIGIR | 2016 | 21 |
| 690 | A Dynamic Recurrent Model for Next Basket Recommendation | Feng Yu; Qiang Liu; Shu Wu; Liang Wang; Tieniu Tan | SIGIR | 2016 | 21 |
| 691 | Searching by Talking: Analysis of Voice Queries on Mobile Web Search | Ido Guy | SIGIR | 2016 | 19 |
| 692 | Predicting User Satisfaction with Intelligent Assistants | Julia Kiseleva; Kyle Williams; Ahmed Hassan Awadallah; Aidan C. Crook; Imed Zitouni; Tasos Anastasakos | SIGIR | 2016 | 18 |
| 693 | Engineering Quality and Reliability in Technology-Assisted Review | Gordon V. Cormack; Maura R. Grossman | SIGIR | 2016 | 16 |
| 694 | Improving Language Estimation with the Paragraph Vector Model for Ad-hoc Retrieval | Qingyao Ai; Liu Yang; Jiafeng Guo; W. Bruce Croft | SIGIR | 2016 | 16 |
| 695 | Document Retrieval Using Entity-Based Language Models | Hadas Raviv; Oren Kurland; David Carmel | SIGIR | 2016 | 15 |
| 696 | A Context-aware Time Model for Web Search | Alexey Borisov; Ilya Markov; Maarten de Rijke; Pavel Serdyukov | SIGIR | 2016 | 15 |
| 697 | Composite Correlation Quantization for Efficient Multimodal Retrieval | Mingsheng Long; Yue Cao; Jianmin Wang; Philip S. Yu | SIGIR | 2016 | 14 |
| 698 | Semantification of Identifiers in Mathematics for Better Math Information Retrieval | Moritz Schubotz; Alexey Grigorev; Marcus Leich; Howard S. Cohl; Norman Meuschke; Bela Gipp; Abdou Youssef; Volker Markl | SIGIR | 2016 | 12 |
| 699 | UQV100: A Test Collection with Query Variability | Peter Bailey; Alistair Moffat; Falk Scholer; Paul Thomas | SIGIR | 2016 | 12 |
| 700 | Novelty based Ranking of Human Answers for Community Questions | Adi Omari; David Carmel; Oleg Rokhlenko; Idan Szpektor | SIGIR | 2016 | 12 |
| 701 | Robust and Collective Entity Disambiguation through Semantic Embeddings | Stefan Zwicklbauer; Christin Seifert; Michael Granitzer | SIGIR | 2016 | 12 |
| 702 | Simple Dynamic Emission Strategies for Microblog Filtering | Luchen Tan; Adam Roegiest; Charles L. A. Clarke; Jimmy J. Lin | SIGIR | 2016 | 12 |
| 703 | Learning to Rank with Selection Bias in Personal Search | Xuanhui Wang; Michael Bendersky; Donald Metzler; Marc Najork | SIGIR | 2016 | 12 |
| 704 | When a Knowledge Base Is Not Enough: Question Answering over Knowledge Bases with External Text Data | Denis Savenkov; Eugene Agichtein | SIGIR | 2016 | 12 |
| 705 | Learning to Rank Features for Recommendation over Multiple Categories | Xu Chen; Zheng Qin; Yongfeng Zhang; Tao Xu | SIGIR | 2016 | 11 |
| 706 | NTCIR Lifelog: The First Test Collection for Lifelog Research | Cathal Gurrin; Hideo Joho; Frank Hopfgartner; Liting Zhou; Rami Albatal | SIGIR | 2016 | 11 |
| 707 | A General Linear Mixed Models Approach to Study System Component Effects | Nicola Ferro; Gianmaria Silvello | SIGIR | 2016 | 10 |
| 708 | When does Relevance Mean Usefulness and User Satisfaction in Web Search? | Jiaxin Mao; Yiqun Liu; Ke Zhou; Jian-Yun Nie; Jingtao Song; Min Zhang; Shaoping Ma; Jiashen Sun; Hengliang Luo | SIGIR | 2016 | 10 |
| 709 | An Exploration of Evaluation Metrics for Mobile Push Notifications | Luchen Tan; Adam Roegiest; Jimmy J. Lin; Charles L. A. Clarke | SIGIR | 2016 | 10 |
| 710 | Parameterized Fielded Term Dependence Models for Ad-hoc Entity Retrieval from Knowledge Graph | Fedor Nikolaev; Alexander Kotov; Nikita Zhiltsov | SIGIR | 2016 | 10 |
| 711 | Modeling Document Novelty with Neural Tensor Network for Search Result Diversification | Long Xia; Jun Xu; Yanyan Lan; Jiafeng Guo; Xueqi Cheng | SIGIR | 2016 | 9 |
| 712 | Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks | Kai Sheng Tai; Richard Socher; Christopher D. Manning | ACL | 2015 | 486 |
| 713 | On Using Very Large Target Vocabulary for Neural Machine Translation | Sébastien Jean; Kyunghyun Cho; Roland Memisevic; Yoshua Bengio | ACL | 2015 | 259 |
| 714 | Transition-Based Dependency Parsing with Stack Long Short-Term Memory | Chris Dyer; Miguel Ballesteros; Wang Ling; Austin Matthews; Noah A. Smith | ACL | 2015 | 254 |
| 715 | Addressing the Rare Word Problem in Neural Machine Translation | Thang Luong; Ilya Sutskever; Quoc V. Le; Oriol Vinyals; Wojciech Zaremba | ACL | 2015 | 215 |
| 716 | Neural Responding Machine for Short-Text Conversation | Lifeng Shang; Zhengdong Lu; Hang Li | ACL | 2015 | 183 |
| 717 | cdec: A Decoder, Alignment, and Learning Framework for Finite- State and Context-Free Translation Models | Chris Dyer; Adam Lopez; Juri Ganitkevitch; Jonathan Weese; Ferhan Türe; Phil Blunsom; Hendra Setiawan; Vladimir Eidelman; Philip Resnik | ACL | 2015 | 166 |
| 718 | A Hierarchical Neural Autoencoder for Paragraphs and Documents | Jiwei Li; Minh-Thang Luong; Daniel Jurafsky | ACL | 2015 | 136 |
| 719 | Deep Unordered Composition Rivals Syntactic Methods for Text Classification | Mohit Iyyer; Varun Manjunatha; Jordan L. Boyd-Graber; Hal Daumé | ACL | 2015 | 130 |
| 720 | Structured Training for Neural Network Transition-Based Parsing | David Weiss; Chris Alberti; Michael Collins; Slav Petrov | ACL | 2015 | 110 |
| 721 | Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base | Wen-tau Yih; Ming-Wei Chang; Xiaodong He; Jianfeng Gao | ACL | 2015 | 106 |
| 722 | Classifying Relations by Ranking with Convolutional Neural Networks | Cícero Nogueira dos Santos; Bing Xiang; Bowen Zhou | ACL | 2015 | 106 |
| 723 | AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes | Sascha Rothe; Hinrich Schütze | ACL | 2015 | 93 |
| 724 | A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering | Di Wang; Eric Nyberg | ACL | 2015 | 91 |
| 725 | Language Models for Image Captioning: The Quirks and What Works | Jacob Devlin; Hao Cheng; Hao Fang; Saurabh Gupta; Li Deng; Xiaodong He; Geoffrey Zweig; Margaret Mitchell | ACL | 2015 | 84 |
| 726 | SensEmbed: Learning Sense Embeddings for Word and Relational Similarity | Ignacio Iacobacci; Mohammad Taher Pilehvar; Roberto Navigli | ACL | 2015 | 77 |
| 727 | Question Answering over Freebase with Multi-Column Convolutional Neural Networks | Li Dong; Furu Wei; Ming Zhou; Ke Xu | ACL | 2015 | 72 |
| 728 | Leveraging Linguistic Structure For Open Domain Information Extraction | Gabor Angeli; Melvin Jose Johnson Premkumar; Christopher D. Manning | ACL | 2015 | 69 |
| 729 | Multi-Task Learning for Multiple Language Translation | Daxiang Dong; Hua Wu; Wei He; Dianhai Yu; Haifeng Wang | ACL | 2015 | 68 |
| 730 | Learning Semantic Representations of Users and Products for Document Level Sentiment Classification | Duyu Tang; Bing Qin; Ting Liu | ACL | 2015 | 66 |
| 731 | End-to-end learning of semantic role labeling using recurrent neural networks | Jie Zhou; Wei Xu | ACL | 2015 | 64 |
| 732 | Compositional Vector Space Models for Knowledge Base Completion | Arvind Neelakantan; Benjamin Roth; Andrew McCallum | ACL | 2015 | 62 |
| 733 | Compositional Semantic Parsing on Semi-Structured Tables | Panupong Pasupat; Percy Liang | ACL | 2015 | 61 |
| 734 | Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks | Yubo Chen; Liheng Xu; Kang Liu; Daojian Zeng; Jun Zhao | ACL | 2015 | 55 |
| 735 | Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering | Guangyou Zhou; Tingting He; Jun Zhao; Po Hu | ACL | 2015 | 53 |
| 736 | Gaussian LDA for Topic Models with Word Embeddings | Rajarshi Das; Manzil Zaheer; Chris Dyer | ACL | 2015 | 53 |
| 737 | PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification | Ellie Pavlick; Pushpendre Rastogi; Juri Ganitkevitch; Benjamin Van Durme; Chris Callison-Burch | ACL | 2015 | 53 |
| 738 | Building a Semantic Parser Overnight | Yushi Wang; Jonathan Berant; Percy Liang | ACL | 2015 | 51 |
| 739 | Knowledge Graph Embedding via Dynamic Mapping Matrix | Guoliang Ji; Shizhu He; Liheng Xu; Kang Liu; Jun Zhao | ACL | 2015 | 51 |
| 740 | An analysis of the user occupational class through Twitter content | Daniel Preotiuc-Pietro; Vasileios Lampos; Nikolaos Aletras | ACL | 2015 | 49 |
| 741 | Event Detection and Domain Adaptation with Convolutional Neural Networks | Thien Huu Nguyen; Ralph Grishman | ACL | 2015 | 48 |
| 742 | Effective Approaches to Attention-based Neural Machine Translation | Thang Luong; Hieu Pham; Christopher D. Manning | EMNLP | 2015 | 647 |
| 743 | A Neural Attention Model for Abstractive Sentence Summarization | Alexander M. Rush; Sumit Chopra; Jason Weston | EMNLP | 2015 | 320 |
| 744 | A large annotated corpus for learning natural language inference | Samuel R. Bowman; Gabor Angeli; Christopher Potts; Christopher D. Manning | EMNLP | 2015 | 249 |
| 745 | Document Modeling with Gated Recurrent Neural Network for Sentiment Classification | Duyu Tang; Bing Qin; Ting Liu | EMNLP | 2015 | 186 |
| 746 | Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems | Tsung-Hsien Wen; Milica Gasic; Nikola Mrksic; Pei-hao Su; David Vandyke; Steve J. Young | EMNLP | 2015 | 172 |
| 747 | Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation | Wang Ling; Chris Dyer; Alan W. Black; Isabel Trancoso; Ramon Fermandez; Silvio Amir; Luís Marujo; Tiago Luís | EMNLP | 2015 | 171 |
| 748 | WikiQA: A Challenge Dataset for Open-Domain Question Answering | Yi Yang; Wen-tau Yih; Christopher Meek | EMNLP | 2015 | 112 |
| 749 | Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs | Miguel Ballesteros; Chris Dyer; Noah A. Smith | EMNLP | 2015 | 107 |
| 750 | Evaluation methods for unsupervised word embeddings | Tobias Schnabel; Igor Labutov; David M. Mimno; Thorsten Joachims | EMNLP | 2015 | 92 |
| 751 | Language Understanding for Text-based Games using Deep Reinforcement Learning | Karthik Narasimhan; Tejas D. Kulkarni; Regina Barzilay | EMNLP | 2015 | 81 |
| 752 | Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths | Yan Xu; Lili Mou; Ge Li; Yunchuan Chen; Hao Peng; Zhi Jin | EMNLP | 2015 | 79 |
| 753 | Modeling Relation Paths for Representation Learning of Knowledge Bases | Yankai Lin; Zhiyuan Liu; Huan-Bo Luan; Maosong Sun; Siwei Rao; Song Liu | EMNLP | 2015 | 75 |
| 754 | Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks | Daojian Zeng; Kang Liu; Yubo Chen; Jun Zhao | EMNLP | 2015 | 73 |
| 755 | Traversing Knowledge Graphs in Vector Space | Kelvin Guu; John Miller; Percy Liang | EMNLP | 2015 | 71 |
| 756 | Representing Text for Joint Embedding of Text and Knowledge Bases | Kristina Toutanova; Danqi Chen; Patrick Pantel; Hoifung Poon; Pallavi Choudhury; Michael Gamon | EMNLP | 2015 | 69 |
| 757 | Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks | Hua He; Kevin Gimpel; Jimmy J. Lin | EMNLP | 2015 | 69 |
| 758 | When Are Tree Structures Necessary for Deep Learning of Representations? | Jiwei Li; Thang Luong; Daniel Jurafsky; Eduard H. Hovy | EMNLP | 2015 | 67 |
| 759 | Do Multi-Sense Embeddings Improve Natural Language Understanding? | Jiwei Li; Daniel Jurafsky | EMNLP | 2015 | 62 |
| 760 | Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis | Soujanya Poria; Erik Cambria; Alexander F. Gelbukh | EMNLP | 2015 | 61 |
| 761 | Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings | Pengfei Liu; Shafiq R. Joty; Helen M. Meng | EMNLP | 2015 | 53 |
| 762 | Broad-coverage CCG Semantic Parsing with AMR | Yoav Artzi; Kenton Lee; Luke S. Zettlemoyer | EMNLP | 2015 | 51 |
| 763 | Sentence Compression by Deletion with LSTMs | Katja Filippova; Enrique Alfonseca; Carlos A. Colmenares; Lukasz Kaiser; Oriol Vinyals | EMNLP | 2015 | 48 |
| 764 | Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection | Ruty Rinott; Lena Dankin; Carlos Alzate Perez; Mitesh M. Khapra; Ehud Aharoni; Noam Slonim | EMNLP | 2015 | 48 |
| 765 | Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling | Kun Xu; Yansong Feng; Songfang Huang; Dongyan Zhao | EMNLP | 2015 | 46 |
| 766 | Long Short-Term Memory Neural Networks for Chinese Word Segmentation | Xinchi Chen; Xipeng Qiu; Chenxi Zhu; Pengfei Liu; Xuanjing Huang | EMNLP | 2015 | 46 |
| 767 | Evaluation of Word Vector Representations by Subspace Alignment | Yulia Tsvetkov; Manaal Faruqui; Wang Ling; Guillaume Lample; Chris Dyer | EMNLP | 2015 | 43 |
| 768 | Not All Contexts Are Created Equal: Better Word Representations with Variable Attention | Wang Ling; Yulia Tsvetkov; Silvio Amir; Ramon Fermandez; Chris Dyer; Alan W. Black; Isabel Trancoso; Chu-Cheng Lin | EMNLP | 2015 | 42 |
| 769 | Hierarchical Recurrent Neural Network for Document Modeling | Rui Lin; Shujie Liu; Muyun Yang; Mu Li; Ming Zhou; Sheng Li | EMNLP | 2015 | 42 |
| 770 | Joint prediction in MST-style discourse parsing for argumentation mining | Andreas Peldszus; Manfred Stede | EMNLP | 2015 | 38 |
| 771 | Discriminative Neural Sentence Modeling by Tree-Based Convolution | Lili Mou; Hao Peng; Ge Li; Yan Xu; Lu Zhang; Zhi Jin | EMNLP | 2015 | 37 |
| 772 | Effective Use of Word Order for Text Categorization with Convolutional Neural Networks | Rie Johnson; Tong Zhang | HLT-NAACL | 2015 | 173 |
| 773 | A Neural Network Approach to Context-Sensitive Generation of Conversational Responses | Alessandro Sordoni; Michel Galley; Michael Auli; Chris Brockett; Yangfeng Ji; Margaret Mitchell; Jian-Yun Nie; Jianfeng Gao; William B. Dolan | HLT-NAACL | 2015 | 154 |
| 774 | Two/Too Simple Adaptations of Word2Vec for Syntax Problems | Wang Ling; Chris Dyer; Alan W. Black; Isabel Trancoso | HLT-NAACL | 2015 | 103 |
| 775 | Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval | Xiaodong Liu; Jianfeng Gao; Xiaodong He; Li Deng; Kevin Duh; Ye-Yi Wang | HLT-NAACL | 2015 | 83 |
| 776 | Combining Language and Vision with a Multimodal Skip-gram Model | Angeliki Lazaridou; Nghia The Pham; Marco Baroni | HLT-NAACL | 2015 | 81 |
| 777 | Convolutional Neural Network for Paraphrase Identification | Wenpeng Yin; Hinrich Schütze | HLT-NAACL | 2015 | 60 |
| 778 | Do Supervised Distributional Methods Really Learn Lexical Inference Relations? | Omer Levy; Steffen Remus; Christian Biemann; Ido Dagan | HLT-NAACL | 2015 | 57 |
| 779 | A Transition-based Algorithm for AMR Parsing | Chuan Wang; Nianwen Xue; Sameer Pradhan | HLT-NAACL | 2015 | 55 |
| 780 | Injecting Logical Background Knowledge into Embeddings for Relation Extraction | Tim Rocktäschel; Sameer Singh; Sebastian Riedel | HLT-NAACL | 2015 | 55 |
| 781 | Toward Abstractive Summarization Using Semantic Representations | Fei Liu; Jeffrey Flanigan; Sam Thomson; Norman M. Sadeh; Noah A. Smith | HLT-NAACL | 2015 | 50 |
| 782 | Unsupervised Morphology Induction Using Word Embeddings | Radu Soricut; Franz Josef Och | HLT-NAACL | 2015 | 49 |
| 783 | Deep Multilingual Correlation for Improved Word Embeddings | Ang Lu; Weiran Wang; Mohit Bansal; Kevin Gimpel; Karen Livescu | HLT-NAACL | 2015 | 49 |
| 784 | What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision | Jonathan Malmaud; Jonathan Huang; Vivek Rathod; Nicholas Johnston; Andrew Rabinovich; Kevin Murphy | HLT-NAACL | 2015 | 46 |
| 785 | Lexicon-Free Conversational Speech Recognition with Neural Networks | Andrew L. Maas; Ziang Xie; Daniel Jurafsky; Andrew Y. Ng | HLT-NAACL | 2015 | 45 |
| 786 | NASARI: a Novel Approach to a Semantically-Aware Representation of Items | José Camacho-Collados; Mohammad Taher Pilehvar; Roberto Navigli | HLT-NAACL | 2015 | 44 |
| 787 | Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models | Sujay Kumar Jauhar; Chris Dyer; Eduard H. Hovy | HLT-NAACL | 2015 | 43 |
| 788 | Not All Character N-grams Are Created Equal: A Study in Authorship Attribution | Upendra Sapkota; Steven Bethard; Manuel Montes-y-Gómez; Thamar Solorio | HLT-NAACL | 2015 | 41 |
| 789 | Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives | Attapol Rutherford; Nianwen Xue | HLT-NAACL | 2015 | 34 |
| 790 | Simple task-specific bilingual word embeddings | Stephan Gouws; Anders Søgaard | HLT-NAACL | 2015 | 33 |
| 791 | Multiview LSA: Representation Learning via Generalized CCA | Pushpendre Rastogi; Benjamin Van Durme; Raman Arora | HLT-NAACL | 2015 | 31 |
| 792 | A Compositional and Interpretable Semantic Space | Alona Fyshe; Leila Wehbe; Partha Pratim Talukdar; Brian Murphy; Tom M. Mitchell | HLT-NAACL | 2015 | 30 |
| 793 | Semi-Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains | Kaveh Taghipour; Hwee Tou Ng | HLT-NAACL | 2015 | 29 |
| 794 | Inflection Generation as Discriminative String Transduction | Garrett Nicolai; Colin Cherry; Grzegorz Kondrak | HLT-NAACL | 2015 | 29 |
| 795 | Unsupervised Entity Linking with Abstract Meaning Representation | Xiaoman Pan; Taylor Cassidy; Ulf Hermjakob; Heng Ji; Kevin Knight | HLT-NAACL | 2015 | 29 |
| 796 | Learning Knowledge Graphs for Question Answering through Conversational Dialog | Ben Hixon; Peter Clark; Hannaneh Hajishirzi | HLT-NAACL | 2015 | 28 |
| 797 | A Word Embedding Approach to Predicting the Compositionality of Multiword Expressions | Bahar Salehi; Paul Cook; Timothy Baldwin | HLT-NAACL | 2015 | 28 |
| 798 | Paradigm classification in supervised learning of morphology | Malin Ahlberg; Markus Forsberg; Mans Hulden | HLT-NAACL | 2015 | 27 |
| 799 | Accurate Evaluation of Segment-level Machine Translation Metrics | Yvette Graham; Timothy Baldwin; Nitika Mathur | HLT-NAACL | 2015 | 27 |
| 800 | Sentiment after Translation: A Case-Study on Arabic Social Media Posts | Mohammad Salameh; Saif Mohammad; Svetlana Kiritchenko | HLT-NAACL | 2015 | 26 |
| 801 | Unsupervised Sparse Vector Densification for Short Text Similarity | Yangqiu Song; Dan Roth | HLT-NAACL | 2015 | 24 |
| 802 | Improving Distributional Similarity with Lessons Learned from Word Embeddings | Omer Levy; Yoav Goldberg; Ido Dagan | TACL | 2015 | 331 |
| 803 | From Paraphrase Database to Compositional Paraphrase Model and Back | John Wieting; Mohit Bansal; Kevin Gimpel; Karen Livescu | TACL | 2015 | 63 |
| 804 | Problems in Current Text Simplification Research: New Data Can Help | Wei Xu; Chris Callison-Burch; Courtney Napoles | TACL | 2015 | 38 |
| 805 | One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations | Yangfeng Ji; Jacob Eisenstein | TACL | 2015 | 38 |
| 806 | Improving Topic Models with Latent Feature Word Representations | Dat Quoc Nguyen; Richard Billingsley; Lan Du; Mark Johnson | TACL | 2015 | 36 |
| 807 | Design Challenges for Entity Linking | Xiao Ling; Sameer Singh; Daniel S. Weld | TACL | 2015 | 35 |
| 808 | Imitation Learning of Agenda-based Semantic Parsers | Jonathan Berant; Percy Liang | TACL | 2015 | 35 |
| 809 | Efficient Inference and Structured Learning for Semantic Role Labeling | Oscar Täckström; Kuzman Ganchev; Dipanjan Das | TACL | 2015 | 27 |
| 810 | Learning Composition Models for Phrase Embeddings | Mo Yu; Mark Dredze | TACL | 2015 | 27 |
| 811 | Unsupervised Lexicon Discovery from Acoustic Input | Chia-ying Lee; Timothy J. O'Donnell; James R. Glass | TACL | 2015 | 27 |
| 812 | Latent Structures for Coreference Resolution | Sebastian Martschat; Michael Strube | TACL | 2015 | 25 |
| 813 | Reasoning about Quantities in Natural Language | Subhro Roy; Tim Vieira; Dan Roth | TACL | 2015 | 22 |
| 814 | Entity Disambiguation with Web Links | Andrew Chisholm; Ben Hachey | TACL | 2015 | 20 |
| 815 | Deriving Boolean Structures from Distributional Vectors | Germán Kruszewski; Denis Paperno; Marco Baroni | TACL | 2015 | 20 |
| 816 | A Bayesian Model of Grounded Color Semantics | Brian McMahan; Matthew Stone | TACL | 2015 | 19 |
| 817 | Parsing Algebraic Word Problems into Equations | Rik Koncel-Kedziorski; Hannaneh Hajishirzi; Ashish Sabharwal; Oren Etzioni; Siena Dumas Ang | TACL | 2015 | 19 |
| 818 | An Unsupervised Method for Uncovering Morphological Chains | Karthik Narasimhan; Regina Barzilay; Tommi S. Jaakkola | TACL | 2015 | 17 |
| 819 | Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis | Claudio Delli Bovi; Luca Telesca; Roberto Navigli | TACL | 2015 | 16 |
| 820 | Modeling Word Forms Using Latent Underlying Morphs and Phonology | Ryan Cotterell; Nanyun Peng; Jason Eisner | TACL | 2015 | 15 |
| 821 | A Hierarchical Distance-dependent Bayesian Model for Event Coreference Resolution | Bishan Yang; Claire Cardie; Peter I. Frazier | TACL | 2015 | 14 |
| 822 | Context-aware Frame-Semantic Role Labeling | Michael Roth; Mirella Lapata | TACL | 2015 | 13 |
| 823 | Modelling and Optimizing on Syntactic N-Grams for Statistical Machine Translation | Rico Sennrich | TACL | 2015 | 12 |
| 824 | A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment | Jing Wang; Mohit Bansal; Kevin Gimpel; Brian D. Ziebart; Clement T. Yu | TACL | 2015 | 12 |
| 825 | Approximation-Aware Dependency Parsing by Belief Propagation | Matthew R. Gormley; Mark Dredze; Jason Eisner | TACL | 2015 | 11 |
| 826 | Higher-order Lexical Semantic Models for Non-factoid Answer Reranking | Daniel Fried; Peter Jansen; Gustave Hahn-Powell; Mihai Surdeanu; Peter Clark | TACL | 2015 | 11 |
| 827 | Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary | Jayant Krishnamurthy; Tom M. Mitchell | TACL | 2015 | 11 |
| 828 | Cross-Document Co-Reference Resolution using Sample-Based Clustering with Knowledge Enrichment | Sourav Dutta; Gerhard Weikum | TACL | 2015 | 10 |
| 829 | Parsing to Noncrossing Dependency Graphs | Marco Kuhlmann; Peter Jonsson | TACL | 2015 | 10 |
| 830 | A Graph-based Lattice Dependency Parser for Joint Morphological Segmentation and Syntactic Analysis | Wolfgang Seeker; Özlem Çetinoglu | TACL | 2015 | 9 |
| 831 | Unsupervised Identification of Translationese | Ella Rabinovich; Shuly Wintner | TACL | 2015 | 9 |
| 832 | Learning Entity and Relation Embeddings for Knowledge Graph Completion | Yankai Lin; Zhiyuan Liu; Maosong Sun; Yang Liu; Xuan Zhu | AAAI | 2015 | 226 |
| 833 | Recurrent Convolutional Neural Networks for Text Classification | Siwei Lai; Liheng Xu; Kang Liu; Jun Zhao | AAAI | 2015 | 156 |
| 834 | Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks | Quanzeng You; Jiebo Luo; Hailin Jin; Jianchao Yang | AAAI | 2015 | 98 |
| 835 | Content-Aware Point of Interest Recommendation on Location-Based Social Networks | Huiji Gao; Jiliang Tang; Xia Hu; Huan Liu | AAAI | 2015 | 85 |
| 836 | The Network Data Repository with Interactive Graph Analytics and Visualization | Ryan A. Rossi; Nesreen K. Ahmed | AAAI | 2015 | 83 |
| 837 | Topical Word Embeddings | Yang Liu; Zhiyuan Liu; Tat-Seng Chua; Maosong Sun | AAAI | 2015 | 79 |
| 838 | Surpassing Human-Level Face Verification Performance on LFW with GaussianFace | Chaochao Lu; Xiaoou Tang | AAAI | 2015 | 78 |
| 839 | Self-Paced Curriculum Learning | Lu Jiang; Deyu Meng; Qian Zhao; Shiguang Shan; Alexander G. Hauptmann | AAAI | 2015 | 70 |
| 840 | Finding a Collective Set of Items: From Proportional Multirepresentation to Group Recommendation | Piotr Skowron; Piotr Faliszewski; Jérôme Lang | AAAI | 2015 | 63 |
| 841 | TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings | Guibing Guo; Jie Zhang; Neil Yorke-Smith | AAAI | 2015 | 61 |
| 842 | Initializing Bayesian Hyperparameter Optimization via Meta-Learning | Matthias Feurer; Jost Tobias Springenberg; Frank Hutter | AAAI | 2015 | 58 |
| 843 | Lazier Than Lazy Greedy | Baharan Mirzasoleiman; Ashwinkumar Badanidiyuru; Amin Karbasi; Jan Vondrák; Andreas Krause | AAAI | 2015 | 58 |
| 844 | Jointly Modeling Deep Video and Compositional Text to Bridge Vision and Language in a Unified Framework | Ran Xu; Caiming Xiong; Wei Chen; Jason J. Corso | AAAI | 2015 | 49 |
| 845 | Predicting the Demographics of Twitter Users from Website Traffic Data | Aron Culotta; Nirmal Ravi Kumar; Jennifer Cutler | AAAI | 2015 | 47 |
| 846 | Detecting Change Points in the Large-Scale Structure of Evolving Networks | Leto Peel; Aaron Clauset | AAAI | 2015 | 47 |
| 847 | Inferring Latent User Properties from Texts Published in Social Media | Svitlana Volkova; Yoram Bachrach; Michael Armstrong; Vijay Sharma | AAAI | 2015 | 47 |
| 848 | Robot Learning Manipulation Action Plans by "Watching" Unconstrained Videos from the World Wide Web | Yezhou Yang; Yi Li; Cornelia Fermüller; Yiannis Aloimonos | AAAI | 2015 | 47 |
| 849 | AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis | Erik Cambria; Jie Fu; Federica Bisio; Soujanya Poria | AAAI | 2015 | 45 |
| 850 | A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data | Marzyeh Ghassemi; Marco A. F. Pimentel; Tristan Naumann; Thomas Brennan; David A. Clifton; Peter Szolovits; Mengling Feng | AAAI | 2015 | 43 |
| 851 | Ranking with Recursive Neural Networks and Its Application to Multi-Document Summarization | Ziqiang Cao; Furu Wei; Li Dong; Sujian Li; Ming Zhou | AAAI | 2015 | 40 |
| 852 | Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners | Shike Mei; Xiaojin Zhu | AAAI | 2015 | 40 |
| 853 | LARS: A Logic-Based Framework for Analyzing Reasoning over Streams | Harald Beck; Minh Dao-Tran; Thomas Eiter; Michael Fink | AAAI | 2015 | 40 |
| 854 | Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery | Peter Schulam; Fredrick Wigley; Suchi Saria | AAAI | 2015 | 39 |
| 855 | High-Confidence Off-Policy Evaluation | Philip S. Thomas; Georgios Theocharous; Mohammad Ghavamzadeh | AAAI | 2015 | 38 |
| 856 | Elementary School Science and Math Tests as a Driver for AI: Take the Aristo Challenge! | Peter Clark | AAAI | 2015 | 37 |
| 857 | Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education | Xiaojin Zhu | AAAI | 2015 | 33 |
| 858 | PD Disease State Assessment in Naturalistic Environments Using Deep Learning | Nils Y. Hammerla; James Fisher; Peter Andras; Lynn Rochester; Richard Walker; Thomas Plötz | AAAI | 2015 | 33 |
| 859 | Identifying At-Risk Students in Massive Open Online Courses | Jiazhen He; James Bailey; Benjamin I. P. Rubinstein; Rui Zhang | AAAI | 2015 | 32 |
| 860 | Self-Paced Learning for Matrix Factorization | Qian Zhao; Deyu Meng; Lu Jiang; Qi Xie; Zongben Xu; Alexander G. Hauptmann | AAAI | 2015 | 32 |
| 861 | Generalized Singular Value Thresholding | Canyi Lu; Changbo Zhu; Chunyan Xu; Shuicheng Yan; Zhouchen Lin | AAAI | 2015 | 31 |
| 862 | Action2Activity: Recognizing Complex Activities from Sensor Data | Ye Liu; Liqiang Nie; Lei Han; Luming Zhang; David S. Rosenblum | IJCAI | 2015 | 84 |
| 863 | Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition | Jianbo Yang; Minh Nhut Nguyen; Phyo Phyo San; Xiaoli Li; Shonali Krishnaswamy | IJCAI | 2015 | 74 |
| 864 | Network Representation Learning with Rich Text Information | Cheng Yang; Zhiyuan Liu; Deli Zhao; Maosong Sun; Edward Y. Chang | IJCAI | 2015 | 73 |
| 865 | Convolutional Neural Tensor Network Architecture for Community-Based Question Answering | Xipeng Qiu; Xuanjing Huang | IJCAI | 2015 | 57 |
| 866 | Joint Learning of Character and Word Embeddings | Xinxiong Chen; Lei Xu; Zhiyuan Liu; Maosong Sun; Huan-Bo Luan | IJCAI | 2015 | 57 |
| 867 | Self-Adaptive Hierarchical Sentence Model | Han Zhao; Zhengdong Lu; Pascal Poupart | IJCAI | 2015 | 53 |
| 868 | Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves | Tobias Domhan; Jost Tobias Springenberg; Frank Hutter | IJCAI | 2015 | 53 |
| 869 | When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing | Fei Fang; Peter Stone; Milind Tambe | IJCAI | 2015 | 52 |
| 870 | Target-Dependent Twitter Sentiment Classification with Rich Automatic Features | Duy-Tin Vo; Yue Zhang | IJCAI | 2015 | 48 |
| 871 | Mirror Representation for Modeling View-Specific Transform in Person Re-Identification | Ying-Cong Chen; Wei-Shi Zheng; Jian-Huang Lai | IJCAI | 2015 | 47 |
| 872 | Scalable Graph Hashing with Feature Transformation | Qing-Yuan Jiang; Wu-Jun Li | IJCAI | 2015 | 42 |
| 873 | Quantized Correlation Hashing for Fast Cross-Modal Search | Botong Wu; Qiang Yang; Wei-Shi Zheng; Yizhou Wang; Jingdong Wang | IJCAI | 2015 | 38 |
| 874 | Personalized Ranking Metric Embedding for Next New POI Recommendation | Shanshan Feng; Xutao Li; Yifeng Zeng; Gao Cong; Yeow Meng Chee; Quan Yuan | IJCAI | 2015 | 37 |
| 875 | Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection | Xiaojun Chang; Yi Yang; Alexander G. Hauptmann; Eric P. Xing; Yaoliang Yu | IJCAI | 2015 | 36 |
| 876 | User Modeling with Neural Network for Review Rating Prediction | Duyu Tang; Bing Qin; Ting Liu; Yuekui Yang | IJCAI | 2015 | 33 |
| 877 | Knowledge Base Completion Using Embeddings and Rules | Quan Wang; Bin Wang; Li Guo | IJCAI | 2015 | 33 |
| 878 | Cross-View Projective Dictionary Learning for Person Re-Identification | Sheng Li; Ming Shao; Yun Fu | IJCAI | 2015 | 31 |
| 879 | Unsupervised Sentiment Analysis for Social Media Images | Yilin Wang; Suhang Wang; Jiliang Tang; Huan Liu; Baoxin Li | IJCAI | 2015 | 30 |
| 880 | Modeling Mention, Context and Entity with Neural Networks for Entity Disambiguation | Yaming Sun; Lei Lin; Duyu Tang; Nan Yang; Zhenzhou Ji; Xiaolong Wang | IJCAI | 2015 | 30 |
| 881 | Learning to Interpret Natural Language Commands through Human-Robot Dialog | Jesse Thomason; Shiqi Zhang; Raymond J. Mooney; Peter Stone | IJCAI | 2015 | 30 |
| 882 | Integrated Anchor and Social Link Predictions across Social Networks | Jiawei Zhang; Philip S. Yu | IJCAI | 2015 | 30 |
| 883 | CoBots: Robust Symbiotic Autonomous Mobile Service Robots | Manuela M. Veloso; Joydeep Biswas; Brian Coltin; Stephanie Rosenthal | IJCAI | 2015 | 29 |
| 884 | Deep Multimodal Hashing with Orthogonal Regularization | Daixin Wang; Peng Cui; Mingdong Ou; Wenwu Zhu | IJCAI | 2015 | 29 |
| 885 | Semantic Topic Multimodal Hashing for Cross-Media Retrieval | Di Wang; Xinbo Gao; Xiumei Wang; Lihuo He | IJCAI | 2015 | 29 |
| 886 | Context-Independent Claim Detection for Argument Mining | Marco Lippi; Paolo Torroni | IJCAI | 2015 | 28 |
| 887 | Deep Learning for Event-Driven Stock Prediction | Xiao Ding; Yue Zhang; Ting Liu; Junwen Duan | IJCAI | 2015 | 28 |
| 888 | Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations | Kwan Hui Lim; Jeffrey Chan; Christopher Leckie; Shanika Karunasekera | IJCAI | 2015 | 27 |
| 889 | Interest Inference via Structure-Constrained Multi-Source Multi-Task Learning | Xuemeng Song; Liqiang Nie; Luming Zhang; Maofu Liu; Tat-Seng Chua | IJCAI | 2015 | 26 |
| 890 | Supervised Representation Learning: Transfer Learning with Deep Autoencoders | Fuzhen Zhuang; Xiaohu Cheng; Ping Luo; Sinno Jialin Pan; Qing He | IJCAI | 2015 | 25 |
| 891 | Algorithm Runtime Prediction: Methods and Evaluation (Extended Abstract) | Frank Hutter; Lin Xu; Holger H. Hoos; Kevin Leyton-Brown | IJCAI | 2015 | 25 |
| 892 | Spatial Transformer Networks | Max Jaderberg; Karen Simonyan; Andrew Zisserman; Koray Kavukcuoglu | NIPS | 2015 | 505 |
| 893 | Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks | Emily L. Denton; Soumith Chintala; Arthur Szlam; Rob Fergus | NIPS | 2015 | 407 |
| 894 | Teaching Machines to Read and Comprehend | Karl Moritz Hermann; Tomás Kociský; Edward Grefenstette; Lasse Espeholt; Will Kay; Mustafa Suleyman; Phil Blunsom | NIPS | 2015 | 404 |
| 895 | Character-level Convolutional Networks for Text Classification | Xiang Zhang; Junbo Jake Zhao; Yann LeCun | NIPS | 2015 | 364 |
| 896 | Skip-Thought Vectors | Ryan Kiros; Yukun Zhu; Ruslan Salakhutdinov; Richard S. Zemel; Raquel Urtasun; Antonio Torralba; Sanja Fidler | NIPS | 2015 | 345 |
| 897 | Learning both Weights and Connections for Efficient Neural Network | Song Han; Jeff Pool; John Tran; William J. Dally | NIPS | 2015 | 330 |
| 898 | Grammar as a Foreign Language | Oriol Vinyals; Lukasz Kaiser; Terry Koo; Slav Petrov; Ilya Sutskever; Geoffrey E. Hinton | NIPS | 2015 | 305 |
| 899 | BinaryConnect: Training Deep Neural Networks with binary weights during propagations | Matthieu Courbariaux; Yoshua Bengio; Jean-Pierre David | NIPS | 2015 | 292 |
| 900 | Attention-Based Models for Speech Recognition | Jan Chorowski; Dzmitry Bahdanau; Dmitriy Serdyuk; Kyunghyun Cho; Yoshua Bengio | NIPS | 2015 | 242 |
| 901 | Training Very Deep Networks | Rupesh Kumar Srivastava; Klaus Greff; Jürgen Schmidhuber | NIPS | 2015 | 239 |
| 902 | Deep Convolutional Inverse Graphics Network | Tejas D. Kulkarni; William F. Whitney; Pushmeet Kohli; Joshua B. Tenenbaum | NIPS | 2015 | 205 |
| 903 | Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks | Samy Bengio; Oriol Vinyals; Navdeep Jaitly; Noam Shazeer | NIPS | 2015 | 198 |
| 904 | Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting | Xingjian Shi; Zhourong Chen; Hao Wang; Dit-Yan Yeung; Wai-Kin Wong; Wang-chun Woo | NIPS | 2015 | 191 |
| 905 | Semi-supervised Learning with Ladder Networks | Antti Rasmus; Mathias Berglund; Mikko Honkala; Harri Valpola; Tapani Raiko | NIPS | 2015 | 176 |
| 906 | Learning to Segment Object Candidates | Pedro H. O. Pinheiro; Ronan Collobert; Piotr Dollár | NIPS | 2015 | 161 |
| 907 | End-To-End Memory Networks | Sainbayar Sukhbaatar; Arthur Szlam; Jason Weston; Rob Fergus | NIPS | 2015 | 154 |
| 908 | Semi-supervised Sequence Learning | Andrew M. Dai; Quoc V. Le | NIPS | 2015 | 143 |
| 909 | Convolutional Networks on Graphs for Learning Molecular Fingerprints | David K. Duvenaud; Dougal Maclaurin; Jorge Aguilera-Iparraguirre; Rafael Gómez-Bombarelli; Timothy Hirzel; Alán Aspuru-Guzik; Ryan P. Adams | NIPS | 2015 | 142 |
| 910 | Exploring Models and Data for Image Question Answering | Mengye Ren; Ryan Kiros; Richard S. Zemel | NIPS | 2015 | 137 |
| 911 | Texture Synthesis Using Convolutional Neural Networks | Leon A. Gatys; Alexander S. Ecker; Matthias Bethge | NIPS | 2015 | 136 |
| 912 | Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems | Yuxin Chen; Emmanuel J. Candès | NIPS | 2015 | 126 |
| 913 | A Recurrent Latent Variable Model for Sequential Data | Junyoung Chung; Kyle Kastner; Laurent Dinh; Kratarth Goel; Aaron C. Courville; Yoshua Bengio | NIPS | 2015 | 125 |
| 914 | Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets | Armand Joulin; Tomas Mikolov | NIPS | 2015 | 121 |
| 915 | 3D Object Proposals for Accurate Object Class Detection | Xiaozhi Chen; Kaustav Kundu; Yukun Zhu; Andrew G. Berneshawi; Huimin Ma; Sanja Fidler; Raquel Urtasun | NIPS | 2015 | 105 |
| 916 | Learning Structured Output Representation using Deep Conditional Generative Models | Kihyuk Sohn; Honglak Lee; Xinchen Yan | NIPS | 2015 | 103 |
| 917 | Variational Dropout and the Local Reparameterization Trick | Avrim Blum; Nika Haghtalab; Ariel D. Procaccia | NIPS | 2015 | 102 |
| 918 | Learning to Transduce with Unbounded Memory | Edward Grefenstette; Karl Moritz Hermann; Mustafa Suleyman; Phil Blunsom | NIPS | 2015 | 99 |
| 919 | Action-Conditional Video Prediction using Deep Networks in Atari Games | Junhyuk Oh; Xiaoxiao Guo; Honglak Lee; Richard L. Lewis; Satinder P. Singh | NIPS | 2015 | 99 |
| 920 | Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images | Manuel Watter; Jost Tobias Springenberg; Joschka Boedecker; Martin A. Riedmiller | NIPS | 2015 | 94 |
| 921 | A Universal Catalyst for First-Order Optimization | Hongzhou Lin; Julien Mairal; Zaïd Harchaoui | NIPS | 2015 | 86 |
| 922 | Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift | Sergey Ioffe; Christian Szegedy | ICML | 2015 | 3220 |
| 923 | Show, Attend and Tell: Neural Image Caption Generation with Visual Attention | Kelvin Xu; Jimmy Ba; Ryan Kiros; Kyunghyun Cho; Aaron C. Courville; Ruslan Salakhutdinov; Richard S. Zemel; Yoshua Bengio | ICML | 2015 | 1135 |
| 924 | DRAW: A Recurrent Neural Network For Image Generation | Karol Gregor; Ivo Danihelka; Alex Graves; Danilo Jimenez Rezende; Daan Wierstra | ICML | 2015 | 490 |
| 925 | Unsupervised Learning of Video Representations using LSTMs | Nitish Srivastava; Elman Mansimov; Ruslan Salakhutdinov | ICML | 2015 | 407 |
| 926 | Trust Region Policy Optimization | John Schulman; Sergey Levine; Pieter Abbeel; Michael I. Jordan; Philipp Moritz | ICML | 2015 | 374 |
| 927 | An Empirical Exploration of Recurrent Network Architectures | Rafal Józefowicz; Wojciech Zaremba; Ilya Sutskever | ICML | 2015 | 285 |
| 928 | Deep Learning with Limited Numerical Precision | Suyog Gupta; Ankur Agrawal; Kailash Gopalakrishnan; Pritish Narayanan | ICML | 2015 | 272 |
| 929 | Learning Transferable Features with Deep Adaptation Networks | Mingsheng Long; Yue Cao; Jianmin Wang; Michael I. Jordan | ICML | 2015 | 253 |
| 930 | Unsupervised Domain Adaptation by Backpropagation | Yaroslav Ganin; Victor S. Lempitsky | ICML | 2015 | 253 |
| 931 | Compressing Neural Networks with the Hashing Trick | Wenlin Chen; James T. Wilson; Stephen Tyree; Kilian Q. Weinberger; Yixin Chen | ICML | 2015 | 218 |
| 932 | Variational Inference with Normalizing Flows | Danilo Jimenez Rezende; Shakir Mohamed | ICML | 2015 | 162 |
| 933 | From Word Embeddings To Document Distances | Matt J. Kusner; Yu Sun; Nicholas I. Kolkin; Kilian Q. Weinberger | ICML | 2015 | 162 |
| 934 | Generative Moment Matching Networks | Yujia Li; Kevin Swersky; Richard S. Zemel | ICML | 2015 | 141 |
| 935 | An embarrassingly simple approach to zero-shot learning | Bernardino Romera-Paredes; Philip H. S. Torr | ICML | 2015 | 140 |
| 936 | Gated Feedback Recurrent Neural Networks | Junyoung Chung; Çaglar Gülçehre; Kyunghyun Cho; Yoshua Bengio | ICML | 2015 | 138 |
| 937 | Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network | Seunghoon Hong; Tackgeun You; Suha Kwak; Bohyung Han | ICML | 2015 | 132 |
| 938 | BilBOWA: Fast Bilingual Distributed Representations without Word Alignments | Stephan Gouws; Yoshua Bengio; Gregory S. Corrado | ICML | 2015 | 107 |
| 939 | Markov Chain Monte Carlo and Variational Inference: Bridging the Gap | Tim Salimans; Diederik P. Kingma; Max Welling | ICML | 2015 | 107 |
| 940 | On Deep Multi-View Representation Learning | Weiran Wang; Raman Arora; Karen Livescu; Jeff A. Bilmes | ICML | 2015 | 103 |
| 941 | Scalable Bayesian Optimization Using Deep Neural Networks | Jasper Snoek; Oren Rippel; Kevin Swersky; Ryan Kiros; Nadathur Satish; Narayanan Sundaram; Md. Mostofa Ali Patwary; Prabhat; Ryan P. Adams | ICML | 2015 | 98 |
| 942 | Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks | José Miguel Hernández-Lobato; Ryan P. Adams | ICML | 2015 | 87 |
| 943 | Learning Deep Structured Models | Liang-Chieh Chen; Alexander G. Schwing; Alan L. Yuille; Raquel Urtasun | ICML | 2015 | 85 |
| 944 | Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization | Yuchen Zhang; Xiao Lin | ICML | 2015 | 77 |
| 945 | Gradient-based Hyperparameter Optimization through Reversible Learning | Dougal Maclaurin; David K. Duvenaud; Ryan P. Adams | ICML | 2015 | 73 |
| 946 | Optimizing Neural Networks with Kronecker-factored Approximate Curvature | James Martens; Roger B. Grosse | ICML | 2015 | 69 |
| 947 | Long Short-Term Memory Over Recursive Structures | Xiao-Dan Zhu; Parinaz Sobhani; Hongyu Guo | ICML | 2015 | 57 |
| 948 | Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems | Christopher De Sa; Christopher Ré; Kunle Olukotun | ICML | 2015 | 55 |
| 949 | Universal Value Function Approximators | Tom Schaul; Daniel Horgan; Karol Gregor; David Silver | ICML | 2015 | 55 |
| 950 | Adding vs. Averaging in Distributed Primal-Dual Optimization | Chenxin Ma; Virginia Smith; Martin Jaggi; Michael I. Jordan; Peter Richtárik; Martin Takác | ICML | 2015 | 54 |
| 951 | A General Analysis of the Convergence of ADMM | Robert Nishihara; Laurent Lessard; Benjamin Recht; Andrew Packard; Michael I. Jordan | ICML | 2015 | 51 |
| 952 | TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems | Martín Abadi; Ashish Agarwal; Paul Barham; Eugene Brevdo; Zhifeng Chen; Craig Citro; Gregory S. Corrado; Andy Davis; Jeffrey Dean; Matthieu Devin; Sanjay Ghemawat; Ian J. Goodfellow; Andrew Harp; Geoffrey Irving; Michael Isard; Yangqing Jia; Rafal Józefowicz; Lukasz Kaiser; Manjunath Kudlur; Josh Levenberg; Dan Mané; Rajat Monga; Sherry Moore; Derek Gordon Murray; Chris Olah; Mike Schuster; Jonathon Shlens; Benoit Steiner; Ilya Sutskever; Kunal Talwar; Paul A. Tucker; Vincent Vanhoucke; Vijay Vasudevan; Fernanda B. Viégas; Oriol Vinyals; Pete Warden; Martin Wattenberg; Martin Wicke; Yuan Yu; Xiaoqiang Zheng | ArXiv | 2015 | 1909 |
| 953 | Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks | Alec Radford; Luke Metz; Soumith Chintala | ArXiv | 2015 | 1168 |
| 954 | Distilling the Knowledge in a Neural Network | Geoffrey E. Hinton; Oriol Vinyals; Jeffrey Dean | ArXiv | 2015 | 624 |
| 955 | Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding | Song Han; Huizi Mao; William J. Dally | ArXiv | 2015 | 569 |
| 956 | Multi-Scale Context Aggregation by Dilated Convolutions | Fisher Yu; Vladlen Koltun | ArXiv | 2015 | 528 |
| 957 | Continuous control with deep reinforcement learning | Timothy P. Lillicrap; Jonathan J. Hunt; Alexander Pritzel; Nicolas Heess; Tom Erez; Yuval Tassa; David Silver; Daan Wierstra | ArXiv | 2015 | 479 |
| 958 | Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) | Djork-Arné Clevert; Thomas Unterthiner; Sepp Hochreiter | ArXiv | 2015 | 370 |
| 959 | A Neural Algorithm of Artistic Style | Leon A. Gatys; Alexander S. Ecker; Matthias Bethge | ArXiv | 2015 | 306 |
| 960 | A Neural Conversational Model | Oriol Vinyals; Quoc V. Le | ArXiv | 2015 | 285 |
| 961 | Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks | Jason Weston; Antoine Bordes; Sumit Chopra; Tomas Mikolov | ArXiv | 2015 | 272 |
| 962 | Understanding Neural Networks Through Deep Visualization | Jason Yosinski; Jeff Clune; Anh Mai Nguyen; Thomas J. Fuchs; Hod Lipson | ArXiv | 2015 | 269 |
| 963 | MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems | Tianqi Chen; Mu Li; Yutian Li; Min Lin; Naiyan Wang; Minjie Wang; Tianjun Xiao; Bing Xu; Chiyuan Zhang; Zheng Zhang | ArXiv | 2015 | 255 |
| 964 | Deep multi-scale video prediction beyond mean square error | Michaël Mathieu; Camille Couprie; Yann LeCun | ArXiv | 2015 | 239 |
| 965 | Visualizing and Understanding Recurrent Networks | Andrej Karpathy; Justin Johnson; Li Fei-Fei | ArXiv | 2015 | 235 |
| 966 | Bidirectional LSTM-CRF Models for Sequence Tagging | Zhiheng Huang; Wei Xu; Kai Yu | ArXiv | 2015 | 215 |
| 967 | ShapeNet: An Information-Rich 3D Model Repository | Angel X. Chang; Thomas A. Funkhouser; Leonidas J. Guibas; Pat Hanrahan; Qi-Xing Huang; Zimo Li; Silvio Savarese; Manolis Savva; Shuran Song; Hao Su; Jianxiong Xiao; Li Yi; Fisher Yu | ArXiv | 2015 | 212 |
| 968 | Reasoning about Entailment with Neural Attention | Tim Rocktäschel; Edward Grefenstette; Karl Moritz Hermann; Tomás Kociský; Phil Blunsom | ArXiv | 2015 | 206 |
| 969 | Prioritized Experience Replay | Tom Schaul; John Quan; Ioannis Antonoglou; David Silver | ArXiv | 2015 | 186 |
| 970 | Microsoft COCO Captions: Data Collection and Evaluation Server | Xinlei Chen; Hao Fang; Tsung-Yi Lin; Ramakrishna Vedantam; Saurabh Gupta; Piotr Dollár; C. Lawrence Zitnick | ArXiv | 2015 | 177 |
| 971 | Highway Networks | Rupesh Kumar Srivastava; Klaus Greff; Jürgen Schmidhuber | ArXiv | 2015 | 172 |
| 972 | Importance Weighted Autoencoders | Yuri Burda; Roger B. Grosse; Ruslan Salakhutdinov | ArXiv | 2015 | 169 |
| 973 | Sequence Level Training with Recurrent Neural Networks | Marc'Aurelio Ranzato; Sumit Chopra; Michael Auli; Wojciech Zaremba | ArXiv | 2015 | 166 |
| 974 | A Simple Way to Initialize Recurrent Networks of Rectified Linear Units | Quoc V. Le; Navdeep Jaitly; Geoffrey E. Hinton | ArXiv | 2015 | 165 |
| 975 | High-Dimensional Continuous Control Using Generalized Advantage Estimation | John Schulman; Philipp Moritz; Sergey Levine; Michael I. Jordan; Pieter Abbeel | ArXiv | 2015 | 162 |
| 976 | DeepID3: Face Recognition with Very Deep Neural Networks | Yi Sun; Ding Liang; Xiaogang Wang; Xiaoou Tang | ArXiv | 2015 | 157 |
| 977 | Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation | George Papandreou; Liang-Chieh Chen; Kevin Murphy; Alan L. Yuille | ArXiv | 2015 | 157 |
| 978 | Empirical Evaluation of Rectified Activations in Convolutional Network | Bing Xu; Naiyan Wang; Tianqi Chen; Mu Li | ArXiv | 2015 | 150 |
| 979 | ParseNet: Looking Wider to See Better | Wei Liu; Andrew Rabinovich; Alexander C. Berg | ArXiv | 2015 | 149 |
| 980 | The New Data and New Challenges in Multimedia Research | Bart Thomee; David A. Shamma; Gerald Friedland; Benjamin Elizalde; Karl Ni; Douglas Poland; Damian Borth; Li-Jia Li | ArXiv | 2015 | 148 |
| 981 | Multi-task Sequence to Sequence Learning | Minh-Thang Luong; Quoc V. Le; Ilya Sutskever; Oriol Vinyals; Lukasz Kaiser | ArXiv | 2015 | 146 |
| 982 | Sarcasm Detection on Twitter: A Behavioral Modeling Approach | Ashwin Rajadesingan; Reza Zafarani; Huan Liu | WSDM | 2015 | 60 |
| 983 | Fast and Space-Efficient Entity Linking for Queries | Roi Blanco; Giuseppe Ottaviano; Edgar Meij | WSDM | 2015 | 49 |
| 984 | Exploring the Space of Topic Coherence Measures | Michael Röder; Andreas Both; Alexander Hinneburg | WSDM | 2015 | 47 |
| 985 | You Are Where You Go: Inferring Demographic Attributes from Location Check-ins | Yuan Zhong; Nicholas Jing Yuan; Wen Zhong; Fuzheng Zhang; Xing Xie | WSDM | 2015 | 47 |
| 986 | Negative Link Prediction in Social Media | Jiliang Tang; Shiyu Chang; Charu C. Aggarwal; Huan Liu | WSDM | 2015 | 40 |
| 987 | Predicting The Next App That You Are Going To Use | Ricardo A. Baeza-Yates; Di Jiang; Fabrizio Silvestri; Beverly Harrison | WSDM | 2015 | 38 |
| 988 | Understanding and Predicting Graded Search Satisfaction | Jiepu Jiang; Ahmed Hassan Awadallah; Xiaolin Shi; Ryen W. White | WSDM | 2015 | 32 |
| 989 | FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering | Yao Wu; Martin Ester | WSDM | 2015 | 30 |
| 990 | Modeling and Predicting Retweeting Dynamics on Microblogging Platforms | Shuai Gao; Jun Ma; Zhumin Chen | WSDM | 2015 | 28 |
| 991 | On the Accuracy of Hyper-local Geotagging of Social Media Content | David Flatow; Mor Naaman; Ke Eddie Xie; Yana Volkovich; Yaron Kanza | WSDM | 2015 | 25 |
| 992 | Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference | Bin Liu; Deguang Kong; Lei Cen; Neil Zhenqiang Gong; Hongxia Jin; Hui Xiong | WSDM | 2015 | 22 |
| 993 | Will This Paper Increase Your h-index?: Scientific Impact Prediction | Yuxiao Dong; Reid A. Johnson; Nitesh V. Chawla | WSDM | 2015 | 22 |
| 994 | Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity Streams | Komal Kapoor; Karthik Subbian; Jaideep Srivastava; Paul R. Schrater | WSDM | 2015 | 22 |
| 995 | Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search | Saehoon Kim; Yuxiong He; Seung-won Hwang; Sameh Elnikety; Seungjin Choi | WSDM | 2015 | 21 |
| 996 | Finding Subgraphs with Maximum Total Density and Limited Overlap | Oana Denisa Balalau; Francesco Bonchi; T.-H. Hubert Chan; Francesco Gullo; Mauro Sozio | WSDM | 2015 | 21 |
| 997 | Concept Graph Learning from Educational Data | Yiming Yang; Hanxiao Liu; Jaime G. Carbonell; Wanli Ma | WSDM | 2015 | 19 |
| 998 | Automatic Gloss Finding for a Knowledge Base using Ontological Constraints | Bhavana Bharat Dalvi; Einat Minkov; Partha Pratim Talukdar; William W. Cohen | WSDM | 2015 | 18 |
| 999 | Real-Time Bidding: A New Frontier of Computational Advertising Research | Jun Wang; Shuai Yuan | WSDM | 2015 | 18 |
| 1000 | User Modeling for a Personal Assistant | Ramanathan V. Guha; Vineet Gupta; Vivek Raghunathan; Ramakrishnan Srikant | WSDM | 2015 | 17 |
| 1001 | SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning | Ning Chen; Steven C. H. Hoi; Shaohua Li; Xiaokui Xiao | WSDM | 2015 | 17 |
| 1002 | Engagement Periodicity in Search Engine Usage: Analysis and its Application to Search Quality Evaluation | Alexey Drutsa; Gleb Gusev; Pavel Serdyukov | WSDM | 2015 | 16 |
| 1003 | Sentiment-Specific Representation Learning for Document-Level Sentiment Analysis | Duyu Tang | WSDM | 2015 | 16 |
| 1004 | MergeRUCB: A Method for Large-Scale Online Ranker Evaluation | Masrour Zoghi; Shimon Whiteson; Maarten de Rijke | WSDM | 2015 | 15 |
| 1005 | Toward Predicting the Outcome of an A/B Experiment for Search Relevance | Lihong Li; Jinyoung Kim; Imed Zitouni | WSDM | 2015 | 15 |
| 1006 | Inferring Movement Trajectories from GPS Snippets | Mu Li; Amr Ahmed; Alexander J. Smola | WSDM | 2015 | 13 |
| 1007 | Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation | Yongfeng Zhang | WSDM | 2015 | 11 |
| 1008 | The Power of Random Neighbors in Social Networks | Silvio Lattanzi; Yaron Singer | WSDM | 2015 | 10 |
| 1009 | Inverting a Steady-State | Ravi Kumar; Andrew Tomkins; Sergei Vassilvitskii; Erik Vee | WSDM | 2015 | 10 |
| 1010 | Optimal Space-time Tradeoffs for Inverted Indexes | Giuseppe Ottaviano; Nicola Tonellotto; Rossano Venturini | WSDM | 2015 | 10 |
| 1011 | Learning to Recommend Related Entities to Search Users | Bin Bi; Hao Ma; Bo-June Paul Hsu; Wei Chu; Kuansan Wang; Junghoo Cho | WSDM | 2015 | 10 |
| 1012 | Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks | Aliaksei Severyn; Alessandro Moschitti | SIGIR | 2015 | 188 |
| 1013 | Image-Based Recommendations on Styles and Substitutes | Julian J. McAuley; Christopher Targett; Qinfeng Shi; Anton van den Hengel | SIGIR | 2015 | 157 |
| 1014 | Twitter Sentiment Analysis with Deep Convolutional Neural Networks | Aliaksei Severyn; Alessandro Moschitti | SIGIR | 2015 | 81 |
| 1015 | Monolingual and Cross-Lingual Information Retrieval Models Based on (Bilingual) Word Embeddings | Ivan Vulic; Marie-Francine Moens | SIGIR | 2015 | 70 |
| 1016 | GeoSoCa: Exploiting Geographical, Social and Categorical Correlations for Point-of-Interest Recommendations | Jia-Dong Zhang; Chi-Yin Chow | SIGIR | 2015 | 57 |
| 1017 | Word Embedding based Generalized Language Model for Information Retrieval | Debasis Ganguly; Dwaipayan Roy; Mandar Mitra; Gareth J. F. Jones | SIGIR | 2015 | 56 |
| 1018 | Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation | Xutao Li; Gao Cong; Xiaoli Li; Tuan-Anh Nguyen Pham; Shonali Krishnaswamy | SIGIR | 2015 | 55 |
| 1019 | Learning Hierarchical Representation Model for NextBasket Recommendation | Pengfei Wang; Jiafeng Guo; Yanyan Lan; Jun Xu; Shengxian Wan; Xueqi Cheng | SIGIR | 2015 | 36 |
| 1020 | Context- and Content-aware Embeddings for Query Rewriting in Sponsored Search | Mihajlo Grbovic; Nemanja Djuric; Vladan Radosavljevic; Fabrizio Silvestri; Narayan Bhamidipati | SIGIR | 2015 | 36 |
| 1021 | Exploring Session Context using Distributed Representations of Queries and Reformulations | Bhaskar Mitra | SIGIR | 2015 | 33 |
| 1022 | Learning to Reweight Terms with Distributed Representations | Guoqing Zheng; James P. Callan | SIGIR | 2015 | 31 |
| 1023 | LBMCH: Learning Bridging Mapping for Cross-modal Hashing | Yang Wang; Xuemin Lin; Lin Wu; Wenjie Zhang; Qing Zhang | SIGIR | 2015 | 30 |
| 1024 | Multiple Social Network Learning and Its Application in Volunteerism Tendency Prediction | Xuemeng Song; Liqiang Nie; Luming Zhang; Mohammad Akbari; Tat-Seng Chua | SIGIR | 2015 | 28 |
| 1025 | From Queries to Cards: Re-ranking Proactive Card Recommendations Based on Reactive Search History | Milad Shokouhi; Qi Guo | SIGIR | 2015 | 28 |
| 1026 | Fielded Sequential Dependence Model for Ad-Hoc Entity Retrieval in the Web of Data | Nikita Zhiltsov; Alexander Kotov; Fedor Nikolaev | SIGIR | 2015 | 26 |
| 1027 | Relevance Scores for Triples from Type-Like Relations | Hannah Bast; Björn Buchhold; Elmar Haussmann | SIGIR | 2015 | 24 |
| 1028 | Different Users, Different Opinions: Predicting Search Satisfaction with Mouse Movement Information | Yiqun Liu; Ye Chen; Jinhui Tang; Jiashen Sun; Min Zhang; Shaoping Ma; Xuan Zhu | SIGIR | 2015 | 23 |
| 1029 | Zero-shot Image Tagging by Hierarchical Semantic Embedding | Xirong Li; Shuai Liao; Weiyu Lan; Xiaoyong Du; Gang Yang | SIGIR | 2015 | 22 |
| 1030 | QuickScorer: A Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees | Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando; Raffaele Perego; Nicola Tonellotto; Rossano Venturini | SIGIR | 2015 | 22 |
| 1031 | Assessor Differences and User Preferences in Tweet Timeline Generation | Yulu Wang; Garrick Sherman; Jimmy J. Lin; Miles Efron | SIGIR | 2015 | 21 |
| 1032 | User Variability and IR System Evaluation | Peter Bailey; Alistair Moffat; Falk Scholer; Paul Thomas | SIGIR | 2015 | 20 |
| 1033 | Mining, Ranking and Recommending Entity Aspects | Ridho Reinanda; Edgar Meij; Maarten de Rijke | SIGIR | 2015 | 19 |
| 1034 | Predicting Search Satisfaction Metrics with Interleaved Comparisons | Anne Schuth; Katja Hofmann; Filip Radlinski | SIGIR | 2015 | 18 |
| 1035 | Temporal Information Retrieval | Nattiya Kanhabua; Avishek Anand | SIGIR | 2015 | 16 |
| 1036 | Leveraging User Reviews to Improve Accuracy for Mobile App Retrieval | Dae Hoon Park; Mengwen Liu; ChengXiang Zhai; Haohong Wang | SIGIR | 2015 | 15 |
| 1037 | Uncovering Crowdsourced Manipulation of Online Reviews | Amir Fayazi; Kyumin Lee; James Caverlee; Anna Cinzia Squicciarini | SIGIR | 2015 | 15 |
| 1038 | Information Retrieval as Card Playing: A Formal Model for Optimizing Interactive Retrieval Interface | Yinan Zhang; ChengXiang Zhai | SIGIR | 2015 | 15 |
| 1039 | WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation | Chao Chen; Dongsheng Li; Yingying Zhao; Qin Lv; Li Shang | SIGIR | 2015 | 14 |
| 1040 | Influence of Vertical Result in Web Search Examination | Zeyang Liu; Yiqun Liu; Ke Zhou; Min Zhang; Shaoping Ma | SIGIR | 2015 | 14 |
| 1041 | Probabilistic Multileave for Online Retrieval Evaluation | Anne Schuth; Robert-Jan Bruintjes; Fritjof Buüttner; Joost van Doorn; Carla Groenland; Harrie Oosterhuis; Cong-Nguyen Tran; Bas Veeling; Jos van der Velde; Roger Wechsler; David Woudenberg; Maarten de Rijke | SIGIR | 2015 | 14 |