Research-Papers/Articles

Papers/Articles I need to read

1. Meta-Transfer Learning for Zero-Shot Super-Resolution
2. Learning to Generate Synthetic Data via Compositing
3. https://arxiv.org/pdf/1606.05908.pdf
4. https://www.countbayesie.com/blog/2015/3/3/6-amazing-trick-with-monte-carlo-simulations
5. An Embarrassingly Simple Approach for Knowledge Distillation
6. NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE
7. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
8. Effective Approaches to Attention-based Neural Machine Translation
9. Long Short-Term Memory-Networks for Machine Reading
10. Deep contextualized word representations
11. Beyond Accuracy: Behavioral Testing of NLP Models with CheckList
12. Prefix-Tuning: Optimizing Continuous Prompts for Generation
13. Towards Debiasing Sentence Representations
14. POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training
15. Deep Entity Matching with Pre-Trained Language Models
16. Learning advanced mathematical computations from examples
17. A Neuro-Symbolic Method for Solving Differential and Functional Equations
18. Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge
19. Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models
20. Global Entity Disambiguation with Pretrained Contextualized Embeddings of Words and Entities
21. Improving Entity Linking by Modeling Latent Entity Type Information
22. Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks

Papers I Have Read

Multi-Task Learning

1. Cross Stitch Networks for MTL
2. Mitigating Bias in Gender Age and Ethnicity Classification- a Multi-Task Convolution Neural Network Approach
3. Dynamic Multi-Task Learning with Convolutional Neural Network
4. Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition
5. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
6. Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification

Programming By Examples

1. Meta-Interpretive Learning of Data Transformation Programs (PBE)
2. Learning Semantic String Transformations from Examples

Language Generation

1. Train No Evil: Selective Masking for Task-Guided Pre-Training

Entity Typing

1. Modeling Fine-Grained Entity Types with Box Embeddings

Symbolic AI

1. Deep Learning for Symbolic Mathematics

Facial Recognition

1. Affect expression behaviour analysis in the wild using spatio-channel attention and complementary context information

Others

1. Episode-based Prototype Generating Network for Zero-Shot Learning
2. Generalized Zero-Shot Learning Via Over-Complete Distribution
3. Learning the Redundancy-free Features for Generalized Zero-Shot Object Recognition
4. Rethinking Zero-shot Video Classification- End-to-end Training for Realistic Applications
5. https://www.countbayesie.com/blog/2017/5/9/kullback-leibler-divergence-explained
6. Attention is all you need
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
8. BERTopic: Neural topic modeling with a class-based TF-IDF procedure