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Volume 101: Asian Conference on Machine Learning, 17-19 November 2019, Nagoya, Japan

[edit]

Editors:

Wee Sun Lee, 


Taiji Suzuki

Asian Conference on Machine Learning: Preface

  Wee Sun Lee, 

  
  Taiji Suzuki

Accepted Papers

Random Projection in Neural Episodic Control

  Daichi Nishio, 

  
  Satoshi Yamane

[abs] [Download PDF]

Differentially Private Community Detection in Attributed Social Networks

  Tianxi Ji, 

  
  Changqing Luo, 

  
  Yifan Guo, 

  
  Jinlong Ji, 

  
  Weixian Liao, 

  
  Pan Li

[abs] [Download PDF]

Towards Governing Agent’s Efficacy: Action-Conditional ββ<script type="math/tex" id="MathJax-Element-1">β</script>-VAE for Deep Transparent Reinforcement Learning

  John Yang, 

  
  Gyuejeong Lee, 

  
  Simyung Chang, 

  
  Nojun Kwak

[abs] [Download PDF]

An Articulated Structure-aware Network for 3D Human Pose Estimation

  Zhenhua Tang, 

  
  Xiaoyan Zhang, 

  
  Junhui Hou

[abs] [Download PDF][Supplementary PDF]

A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVs

  Chang Wang, 

  
  Chao Yan, 

  
  Xiaojia Xiang, 

  
  Han Zhou

[abs] [Download PDF]

Multiple Empirical Kernel Learning with Discriminant Locality Preservation

  Bolu Wang, 

  
  Dongdong Li, 

  
  Zhe Wang

[abs] [Download PDF]

ResNet and Batch-normalization Improve Data Separability

  Yasutaka Furusho, 

  
  Kazushi Ikeda

[abs] [Download PDF]

Variational Conditional GAN for Fine-grained Controllable Image Generation

  Mingqi Hu, 

  
  Deyu Zhou, 

  
  Yulan He

[abs] [Download PDF]

Deep Learning with a Rethinking Structure for Multi-label Classification

  Yao-Yuan Yang, 

  
  Yi-An Lin, 

  
  Hong-Min Chu, 

  
  Hsuan-Tien Lin

[abs] [Download PDF]

Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation

  Kenta Konagayoshi, 

  
  Kazuho Watanabe

[abs] [Download PDF][Supplementary PDF]

Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders

  Yunxiao Wang, 

  
  Zheng Liu, 

  
  Di Hu, 

  
  Mian Zhang

[abs] [Download PDF]

Learning to Augment with Feature Side-information

  Amina Mollaysa, 

  
  Alexandros Kalousis, 

  
  Eric Bruno, 

  
  Maurits Diephuis

[abs] [Download PDF]

An Encoding Adversarial Network for Anomaly Detection

  Elies Gherbi, 

  
  Blaise Hanczar, 

  
  Jean-Christophe Janodet, 

  
  Witold Klaudel

[abs] [Download PDF]

Model-Based Reinforcement Learning Exploiting State-Action Equivalence

  Mahsa Asadi, 

  
  Mohammad Sadegh Talebi, 

  
  Hippolyte Bourel, 

  
  Odalric-Ambrym Maillard

[abs] [Download PDF][Supplementary PDF]

A Model of Text-Enhanced Knowledge Graph Representation Learning with Collaborative Attention

  Yashen Wang, 

  
  Huanhuan Zhang, 

  
  Haiyong Xie

[abs] [Download PDF]

SPCDet: Enhancing Object Detection with Combined Feature Fusing

  Haixin Wang, 

  
  Lintao Wu, 

  
  Qiongzhi Wu

[abs] [Download PDF]

XX<script type="math/tex" id="MathJax-Element-2">\mathcal{X}</script>-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks

  Léonard Torossian, 

  
  Aurélien Garivier, 

  
  Victor Picheny

[abs] [Download PDF][Supplementary PDF]

Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter

  Puja Sahu, 

  
  Nandyala Hemachandra

[abs] [Download PDF]

Realistic Image Generation using Region-phrase Attention

  Wanming Huang, 

  
  Richard Yi Da Xu, 

  
  Ian Oppermann

[abs] [Download PDF][Supplementary PDF]

Efficient Diversified Mini-Batch Selection using Variable High-layer Features

  Wanming Huang, 

  
  Richard Yi Da Xu, 

  
  Ian Oppermann

[abs] [Download PDF]

Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening

  Merlin Schüler, 

  
  Hlynur Davíð Hlynsson, 

  
  Laurenz Wiskott

[abs] [Download PDF][Supplementary PDF]

Functional Isolation Forest

  Guillaume Staerman, 

  
  Pavlo Mozharovskyi, 

  
  Stephan Clémençon, 

  
  Florence d’Alché-Buc

[abs] [Download PDF][Supplementary PDF]

Latent Multi-view Semi-Supervised Classification

  Xiaofan Bo, 

  
  Zhao Kang, 

  
  Zhitong Zhao, 

  
  Yuanzhang Su, 

  
  Wenyu Chen

[abs] [Download PDF]

Cascaded and Dual: Discrimination Oriented Network for Brain Tumor Classification

  Wenxuan Zhang, 

  
  Dong Zhang, 

  
  Xinguang Xiang

[abs] [Download PDF]

FEARS: a Feature and Representation Selection approach for Time Series Classification

  Alexis Bondu, 

  
  Dominique Gay, 

  
  Vincent Lemaire, 

  
  Marc Boullé, 

  
  Eole Cervenka

[abs] [Download PDF]

Unified Policy Optimization for Robust Reinforcement Learning

  Zichuan Lin, 

  
  Li Zhao, 

  
  Jiang Bian, 

  
  Tao Qin, 

  
  Guangwen Yang

[abs] [Download PDF]

Multi-Label Learning with Regularization Enriched Label-Specific Features

  Ze-Sen Chen, 

  
  Min-Ling Zhang

[abs] [Download PDF]

An Attentive Memory Network Integrated with Aspect Dependency for Document-Level Multi-Aspect Sentiment Classification

  Qingxuan Zhang, 

  
  Chongyang Shi

[abs] [Download PDF]

Multi-modal Representation Learning for Successive POI Recommendation

  Lishan Li, 

  
  Ying Liu, 

  
  Jianping Wu, 

  
  Lin He, 

  
  Gang Ren

[abs] [Download PDF]

Forward and Backward Knowledge Transfer for Sentiment Classification

  Hao Wang, 

  
  Bing Liu, 

  
  Shuai Wang, 

  
  Nianzu Ma, 

  
  Yan Yang

[abs] [Download PDF]

Zero-shot Domain Adaptation Based on Attribute Information

  Masato Ishii, 

  
  Takashi Takenouchi, 

  
  Masashi Sugiyama

[abs] [Download PDF]

Capsule Networks Need an Improved Routing Algorithm

  Inyoung Paik, 

  
  Taeyeong Kwak, 

  
  Injung Kim

[abs] [Download PDF]

Learning to Sample Hard Instances for Graph Algorithms

  Ryoma Sato, 

  
  Makoto Yamada, 

  
  Hisashi Kashima

[abs] [Download PDF]

Multi-branch Siamese Network for High Performance Online Visual Tracking

  Junfei Zhuang, 

  
  Yuan Dong, 

  
  Hongliang Bai, 

  
  Gang Wang

[abs] [Download PDF]

Exemplar Based Mixture Models with Censored Data

  Masahiro Kohjima, 

  
  Tatsushi Matsubayashi, 

  
  Hiroyuki Toda

[abs] [Download PDF]

Canonical Soft Time Warping

  Keisuke Kawano, 

  
  Satoshi Koide, 

  
  Takuro Kutsuna

[abs] [Download PDF][Supplementary PDF]

Self-Weighted Multi-View Clustering with Deep Matrix Factorization

  Beilei Cui, 

  
  Hong Yu, 

  
  Tiantian Zhang, 

  
  Siwen Li

[abs] [Download PDF]

Real-time tree search with pessimistic scenarios: Winning the NeurIPS 2018 Pommerman Competition

  Takayuki Osogami, 

  
  Toshihiro Takahashi

[abs] [Download PDF]

Variational Inference from Ranked Samples with Features

  Yuan Guo, 

  
  Jennifer Dy, 

  
  Deniz Erdoğmuş, 

  
  Jayashree Kalpathy-Cramer, 

  
  Susan Ostmo, 

  
  J. Peter Campbell, 

  
  Michael F. Chiang, 

  
  Stratis Ioannidis

[abs] [Download PDF][Supplementary PDF]

Investigating the effect of novel classes in semi-supervised learning

  Alex Yuxuan Peng, 

  
  Yun Sing Koh, 

  
  Patricia Riddle, 

  
  Bernhard Pfahringer

[abs] [Download PDF][Supplementary PDF]

An Anchor-Free Oriented Text Detector with Connectionist Text Proposal Network

  Chenhui Huang, 

  
  Jinhua Xu

[abs] [Download PDF]

Text Length Adaptation in Sentiment Classification

  Reinald Kim Amplayo, 

  
  Seonjae Lim, 

  
  Seung-won Hwang

[abs] [Download PDF]

A Generalization Bound for Online Variational Inference

  Badr-Eddine Chérief-Abdellatif, 

  
  Pierre Alquier, 

  
  Mohammad Emtiyaz Khan

[abs] [Download PDF][Supplementary PDF]

Regularizing Neural Networks via Stochastic Branch Layers

  Wonpyo Park, 

  
  Paul Hongsuck Seo, 

  
  Bohyung Han, 

  
  Minsu Cho

[abs] [Download PDF]

SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA

  Satoshi Hara, 

  
  Weichih Chen, 

  
  Takashi Washio, 

  
  Tetsuichi Wazawa, 

  
  Takeharu Nagai

[abs] [Download PDF]

Improving Statute Prediction via Mining Correlations between Statutes

  Yi Feng, 

  
  Chuanyi Li, 

  
  Jidong Ge, 

  
  Bin Luo

[abs] [Download PDF]

Convolutional Neural Collaborative Filtering with Stacked Embeddings

  Liu Han, 

  
  Hailong Wu, 

  
  Nan Hu, 

  
  Binbin Qu

[abs] [Download PDF]

A New Multi-choice Reading Comprehension Dataset for Curriculum Learning

  Yichan Liang, 

  
  Jianheng Li, 

  
  Jian Yin

[abs] [Download PDF]

Prediction of Crowd Flow in City Complex with Missing Data

  Shiyang Qiu, 

  
  Peng Xu, 

  
  Wei Zheng, 

  
  Junjie Wang, 

  
  Guo Yu, 

  
  Mingyao Hou, 

  
  Hengchang Liu

[abs] [Download PDF]

Learning Weighted Top-kk<script type="math/tex" id="MathJax-Element-3">k</script> Support Vector Machine

  Tsuyoshi Kato, 

  
  Yoshihiro Hirohashi

[abs] [Download PDF][Supplementary PDF]

Self-Paced Multi-Label Learning with Diversity

  Seyed Amjad Seyedi, 

  
  S. Siamak Ghodsi, 

  
  Fardin Akhlaghian, 

  
  Mahdi Jalili, 

  
  Parham Moradi

[abs] [Download PDF]

Software Component Prediction for Bug Reports

  Wei Zhang, 

  
  Chris Challis

[abs] [Download PDF]

Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification

  Bahram K. Baloch, 

  
  Sateesh Kumar, 

  
  Sanjay Haresh, 

  
  Abeerah Rehman, 

  
  Tahir Syed

[abs] [Download PDF]

Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates

  Vidyadhar Upadhya, 

  
  P S Sastry

[abs] [Download PDF]

Multi-width Activation and Multiple Receptive Field Networks for Dynamic Scene Deblurring

  Jinkai Cui, 

  
  Weihong Li, 

  
  Wei Guo, 

  
  Weiguo Gong

[abs] [Download PDF]

Adaptive truncated residual regression for fine-grained regression problems

  Hirotaka Hachiya, 

  
  Yu Yamamoto, 

  
  Kazuro Hirahara, 

  
  Naonori Ueda

[abs] [Download PDF]

Surface Reconstruction based on Self-Merging Octree with Deep Learning

  Jian Lv, 

  
  Xie Han, 

  
  Jiajie Zheng, 

  
  Fengguang Xiong, 

  
  Min Pang

[abs] [Download PDF]

Separate Loss for Basic and Compound Facial Expression Recognition in the Wild

  Yingjian Li, 

  
  Yao Lu, 

  
  Jinxing Li, 

  
  Guangming Lu

[abs] [Download PDF]

LADet: A Light-weight and Adaptive Network for Multi-scale Object Detection

  Jiaming Zhou, 

  
  Yuqiao Tian, 

  
  Weicheng Li, 

  
  Rui Wang, 

  
  Zhongzhi Luan, 

  
  Depei Qian

[abs] [Download PDF]

Fusing Recalibrated Features and Depthwise Separable Convolution for the Mangrove Bird Sound Classification

  Chongqin Lei, 

  
  Weiguo Gong, 

  
  Zixu Wang

[abs] [Download PDF]

Multi-Scale Visual Semantics Aggregation with Self-Attention for End-to-End Image-Text Matching

  Zhuobin Zheng, 

  
  Youcheng Ben, 

  
  Chun Yuan

[abs] [Download PDF][Supplementary PDF]

Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators

  Naoya Takeishi

[abs] [Download PDF][Supplementary PDF]

Nuclei segmentation by using convolutional network with distance map and contour information

  Xiaoming Liu, 

  
  Zhengsheng Guo, 

  
  Bo Li, 

  
  Jun Cao

[abs] [Download PDF]

Unpaired Data based Cross-domain Synthesis and Segmentation Using Attention Neural Network

  Xiaoming Liu, 

  
  Xiangkai Wei, 

  
  Aihui Yu, 

  
  Zhifang Pan

[abs] [Download PDF]

Self-Supervised Deep Multi-View Subspace Clustering

  Xiukun Sun, 

  
  Miaomiao Cheng, 

  
  Chen Min, 

  
  Liping Jing

[abs] [Download PDF]

Active Change-Point Detection

  Shogo Hayashi, 

  
  Yoshinobu Kawahara, 

  
  Hisashi Kashima

[abs] [Download PDF]

Trust Region Sequential Variational Inference

  Geon-Hyeong Kim, 

  
  Youngsoo Jang, 

  
  Jongmin Lee, 

  
  Wonseok Jeon, 

  
  Hongseok Yang, 

  
  Kee-Eung Kim

[abs] [Download PDF]

SDC-causing Error Detection Based on Lightweight Vulnerability Prediction

  Cheng Liu, 

  
  Jingjing Gu, 

  
  Zujia Yan, 

  
  Fuzhen Zhuang, 

  
  Yunyun Wang

[abs] [Download PDF]

Hyperbolic Ordinal Embedding

  Atsushi Suzuki, 

  
  Jing Wang, 

  
  Feng Tian, 

  
  Atsushi Nitanda, 

  
  Kenji Yamanishi

[abs] [Download PDF][Supplementary PDF]

Effective Sentence Scoring Method Using BERT for Speech Recognition

  Joonbo Shin, 

  
  Yoonhyung Lee, 

  
  Kyomin Jung

[abs] [Download PDF]

Stochastic Gradient Trees

  Henry Gouk, 

  
  Bernhard Pfahringer, 

  
  Eibe Frank

[abs] [Download PDF]

Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA

  Vitalik Melnikov, 

  
  Eyke Hüllermeier

[abs] [Download PDF]

Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension

  Marina Gomtsyan, 

  
  Nikita Mokrov, 

  
  Maxim Panov, 

  
  Yury Yanovich

[abs] [Download PDF]

Forward-Backward Generative Adversarial Networks for Anomaly Detection

  Youngnam Kim, 

  
  Seungjin Choi

[abs] [Download PDF]

Improving Relation Classification by Entity Pair Graph

  Yi Zhao, 

  
  Huaiyu Wan, 

  
  Jianwei Gao, 

  
  Youfang Lin

[abs] [Download PDF]

Cell-aware Stacked LSTMs for Modeling Sentences

  Jihun Choi, 

  
  Taeuk Kim, 

  
  Sang-goo Lee

[abs] [Download PDF][Supplementary PDF]

From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users

  Anh Phan Tuan, 

  
  Nhat Nguyen Trong, 

  
  Duong Bui Trong, 

  
  Linh Ngo Van, 

  
  Khoat Than

[abs] [Download PDF]

G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors

  Xing Wu, 

  
  Lifeng Huang, 

  
  Chengying Gao

[abs] [Download PDF]

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