Table of Contents

• Reinforcement Learning
  • Dialogue
  • Survey
  • Summarization
• Self-Supervised Learning
  • Word Embedding
  • Dialogue
  • Vision & Language
  • Machine Translation
  • Named Entity Recognition
  • Parsing
  • Qestion Answering
  • Sentiment Analysis
  • Speech Translation
  • Automatic Speech Recognition
  • Summarization
  • Tagging
  • Others
• VAE
  • Theory
  • Summarization
  • Dialogue
  • Machine Translation
  • Others
• GAN
  • Theory
  • Training Skill
  • Modeling
  • Sequence GAN
  • Machine translation
  • Generation
  • Classification
  • Dialogue
  • Other Applications
• Meta Learning
  • Genaration
  • Classification
  • Machine Translation
  • Auto Machine Learning
  • Vision&Language
  • Question Answering
  • Others
• Lifelong Learning/Continual Learning
  • Survey
  • Theory
  • Approaches
• Graph Neural Networks
  • Survey
  • Types
  • Natural Language Processing
  • Computer Vision

Reinforcement-Learning

RL-Dialogue

• AAAI 2020-Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation[pdf][code]

• AAAI 2020-AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses[pdf]

• AAAI 2020-Generating Persona Consistent Dialogues by Exploiting Natural Language Inference[pdf]

• NAACL 2019-Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models[pdf][code]

• NAACL 2019-Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat[pdf][code]

• ICMLA 2019-Natural Language Generation Using Reinforcement Learning with External Rewards[pdf]

• IJCNN 2019-Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards[pdf]

• ICLR 2019-A Study of State Aliasing in Structured Prediction with RNNs[pdf]

• ACL 2019-Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment[pdf]

• TASLP-AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning[pdf]

• AAAI 2019-Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning[pdf]

• AAAI 2019-Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning[pdf][code]

• AAAI 2019-Goal-oriented Dialogue Policy Learning from Failures[pdf]

• NAACL 2018-Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems[pdf]

• TASLP-Sample Efficient Deep Reinforcement Learning for Dialogue Systems with Large Action Spaces[pdf]

• EMNLP 2018-Subgoal Discovery for Hierarchical Dialogue Policy Learning[pdf][code]

• NAACL 2018-Feudal Reinforcement Learning for Dialogue Management in Large Domains[pdf]

• ICLR 2018-Towards Explainable and Controllable Open Domain Dialogue Generation with Dialogue Acts[pdf]

• ACL 2018-Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning[pdf][code]

• NIPS 2017-End-to-End Optimization of Task-Oriented Dialogue Model with Deep Reinforcement Learning[pdf]

• AAAI 2018-BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems[pdf]

• SigDial 2017-Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management[pdf]

• EMNLP 2017-Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning[pdf]

• IJCNLP 2017-End-to-End Task-Completion Neural Dialogue Systems[pdf][code]

• ACL 2017-Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access[pdf][code]

• arxiv-Deep Reinforcement Learning for Dialogue Generation[pdf]

RL-Survey

• IJCAI 2019-A Survey of Reinforcement Learning Informed by Natural Language[pdf]

• arxiv-A Survey of Reinforcement Learning Techniques: Strategies, Recent Development, and Future Directions[pdf]

• arxiv-Deep Reinforcement Learning[pdf]

• Reinforcement Learning in Natural Language Processing

• Reinforcement Learning for NLP

RL-Summarization

• ICLR2020-Read, Highlight and Summarize: A Hierarchical Neural Semantic Encoder-based Approach[pdf][code]

• EDSMLS 2020-Quality of syntactic implication of RL-based sentence summarization[pdf][code]

• EMNLP 2019-Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization.[pdf]

• NAACL 2019-Guiding Extractive Summarization with Question-Answering Rewards[pdf][code]

• EMNLP 2019-Summary Level Training of Sentence Rewriting for Abstractive Summarization[pdf]

• EMNLP 2019-Answers Unite! Unsupervised Metrics for Reinforced Summarization Models[pdf][code]

• EMNLP 2019 -Summary Level Training of Sentence Rewriting for Abstractive Summarization[pdf]

• EMNLP 2019-An Entity-Driven Framework for Abstractive Summarization[pdf][code]

• CoNLL 2019-Pretraining-Based Natural Language Generation for Text Summarization[pdf]

• ICLR 2018-A Deep Reinforced Model for Abstractive Summarization[pdf][code]

• EMNLP 2018-Improving Abstraction in Text Summarization[pdf]

• ACL 2018-Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting[pdf][code]

• NAACL 2018-Multi-Reward Reinforced Summarization with Saliency and Entailment[pdf]

• EMNLP 2018-Closed-Book Training to Improve Summarization Encoder Memory[pdf]

• IJCAI-ECAI 2018-A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization[pdf]

• NAACL 2018-Ranking Sentences for Extractive Summarization with Reinforcement Learning.[pdf][code]

• EMNLP 2018-BANDITSUM: Extractive Summarization as a Contextual Bandit[pdf][code]

• ACL 2018-Reinforced Extractive Summarization with Question-Focused Rewards[pdf]

• NAACL 2018-Multi-Reward Reinforced Summarization with Saliency and Entailment[pdf]

• NAACL 2018-Deep Communicating Agents for Abstractive Summarization[pdf][code]

• AAAI 2018-Generative Adversarial Network for Abstractive Text Summarization[pdf][code]

• IJCNLP 2017-Automatic Text Summarization Using Reinforcement Learning with Embedding Features[pdf]

Self-Supervised-Learning

SSL-Word-Embedding

• ECAI 2020-Refinement of Unsupervised Cross-Lingual Word Embeddings[pdf]

• ICLR 2020-A Mutual Information Maximization Perspective of Language Representation Learning[pdf]

• ICLR 2020-albert: a lite bert for self-supervised learning of language representations[pdf][code]

• arxiv-BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding[pdf][code]

• NAACL 2018-Deep contextualized word representations[pdf]

• EMNLP 2018-Semi-Supervised Sequence Modeling with Cross-View Training[pdf][code]

• EMNLP 2017-Supervised Learning of Universal Sentence Representations from Natural Language Inference Data[pdf][code]

• NAACL 2018-Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings[pdf]

SSL-Dialogue

• EMNLP 2019-Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue[pdf][code]

• ACL 2019-Self-Supervised Dialogue Learning[pdf]

SSL-Vision&Language

• ACM MM 2019-Unpaired Cross-lingual Image Caption Generation with Self-Supervised Rewards[pdf]

• ICMR 2019-Self-Supervised Visual Representations for Cross-Modal Retrieval[pdf]

• arxiv-Towards a Hypothesis on Visual Transformation based Self-Supervision[pdf]

• arxiv-Learning Video Representations using Contrastive Bidirectional Transformer[pdf]

SSL-Machine-Translation

• ACL 2019-Self-Supervised Neural Machine Translation[pdf]

• (book)Joint Training for Neural Machine Translation 2019-Semi-Supervised Learning for Neural Machine Translation[pdf]

SSL-Named-Entity-Recognition

• AAAI 2017-A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media[pdf]

SSL-Parsing

• ACL 2019-Compound Probabilistic Context-Free Grammars for Grammar Induction[pdf][code]

• EMNLP 2019-Tree Transformer: Integrating Tree Structures into Self-Attention[pdf][code]

• NAACL 2019-Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders[pdf][code]

• NAACL 2019-Unsupervised Recurrent Neural Network Grammars[pdf][code]

• ICLR 2018-Neural Language Modeling by Jointly Learning Syntax and Lexicon[pdf][code]

• ICLR 2019-Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks[pdf][code]

SSL-Qestion-Answering

• ACL 2019-Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension[pdf]

SSL-Sentiment-Analysis

• SIGKDD 2017-Large Scale Sentiment Learning with Limited Labels[pdf]

• ACL 2019-Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis[pdf][code]

SSL-Speech-Translation

• ICASSP 2020-Generative Pre-Training for Speech with Autoregressive Predictive Coding[pdf][code]

SSL-Automatic-Speech-Recognition

• Interspeech 2019-Semi-supervised Sequence-to-sequence ASR using Unpaired Speech and Text[pdf][code]

SSL-Summarization

• EMNLP 2019-BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle[pdf]

• ACL 2019-Self-Supervised Learning for Contextualized Extractive Summarization[pdf][code]

SSL-Tagging

• EMNLP 2019-Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders.[pdf][code]

SSL-Others

• National Science Review 2017-A brief introduction to weakly supervised learning [pdf]

• Algorithms 2018-An Auto-Adjustable Semi-Supervised Self-Training Algorithm[pdf]

• AAAI2017-Learning Safe Prediction for Semi-Supervised Regression[pdf]

• ICLR 2020-Revisiting Self-Training for Neural Sequence Generation[pdf][code]

VAE

VAE-Theory

• ICLR2013-Auto-Encoding Variational Bayes[pdf]

• NIPS2015-Learning Structured Output Representation using Deep Conditional Generative Models[pdf][code]

• Tutorial on Variational Autoencoders[pdf][code]

VAE-Summarization

• EMNLP2016-Language as a Latent Variable: Discrete Generative Models for Sentence Compression[pdf]

VAE-Dialogue

• A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues[pdf]

• ACL2017-Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders[pdf][code]

VAE-Machine Translation

• EMNLP2016-Variational Neural Machine Translation[pdf]

VAE-Others

• ICLR2016-Generating Sentences from a Continuous Space[pdf]

• ICML2016-Neural Variational Inference for Text Processing[pdf]

GAN

GAN-Theory

• Generative Adversarial Nets [pdf][code]

• Energy-Based Generative Adversarial Network [pdf][code]

• Conditional generative adversarial nets [pdf][code]

• Generative Visual Manipulation on the Natural Image Manifold [pdf][code]

• Adversarial Autoencoders [pdf][code]

GAN-Training Skill

• Which Training Methods for GANs do actually Converge [pdf][code]

• Improved Techniques for Training GANs[pdf][code]

• Towards Principled Methods for Training Generative Adversarial Networks[pdf]

• Least Squares Generative Adversarial Networks[pdf][code]

• Wasserstein GANpdf[code]

• Improved Training of Wasserstein GANs[pdf][code]

• Generalization and Equilibrium in Generative Adversarial Nets[pdf]

• GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium[pdf][code]

GAN-Modeling

• Arxiv 2020-LocoGAN — Locally Convolutional GAN [pdf] [code]

• ICML 2018- RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks [pdf]

• ICML 2018-JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets [pdf]

• AAAI 2019-Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval [pdf]

• AAAI 2019-PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification [pdf]

• ICML 2018-Which Training Methods for GANs do actually Converge? [pdf]

• ICML 2018-Improved Training of Generative Adversarial Networks Using Representative Features[pdf]

• AAAI 2019-On-Line Adaptative Curriculum Learning for GANs [pdf]

• AAAI 2019-Improving GAN with Neighbors Embedding and Gradient Matching [pdf]

GAN-Sequence GAN

• AAAI 2017-SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient [pdf]

• GANs for sequence of discrete elements with the Gumbel-softmax distribution [pdf]

• Maximum-Likelihood Augmented Discrete Generative Adversarial Networks[pdf]

GAN-Machine translation

• Adversarial Neural Machine Translation [pdf]
• NAACL 2018-Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets[pdf]

GAN-Generation

• NIPS 2016-Generating Text via Adversarial Training[pdf]

• ICML 2017-Adversarial Feature Matching for Text Generation[pdf]

• ICLR 2018-MaskGAN: Better Text Generation via Filling in the ____[pdf]

• AAAI 2018-Long Text Generation via Adversarial Training with Leaked Information[pdf]

GAN-Classification

• Detecting Deceptive Reviews using Generative Adversarial Networks[pdf]

• GANs for Semi-Supervised Opinion Spam Detection[pdf]

GAN-Dialogue

• Adversarial Learning for Neural Dialogue Generation[pdf]

GAN- Other applications

• ArXiv 2020-Unsupervised Discovery of Interpretable Directions in the GAN Latent Space [pdf] [code]

• ASP-DAC 2018-Intelligent corner synthesis via cycle-consistent generative adversarial networks for efficient validation of autonomous driving systems [pdf]

• Arxiv 2020-FakeLocator: Robust Localization of GAN-Based Face Manipulations via Semantic Segmentation Networks with Bells and Whistles [pdf]

• EECV 2018- ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks [pdf]

• CVPR 2019- APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs [pdf] [code]

• Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks [pdf][code]

• Generative Adversarial Text to Image Synthesis [pdf][code]

Meta-Learning

ML-Genaration

• AAAI 2018-Learning to Generalize: Meta-Learning for Domain Generalization[pdf]

• NeurIPS 2017-Gated Fast Weights for On-The-Fly Neural Program Generation[pdf]

• NAACL 2018-Natural Language to Structured Query Generation via Meta-Learning[pdf][code]

• IJCAI 2019-Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems[pdf]

ML-Classification

• EMNLP 2019-Induction Networks for Few-Shot Text Classification[pdf]

• EMNLP 2019-Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification[pdf][code]

• NeurIPS 2018-Large Margin Meta-Learning for Few-Shot Classification[pdf]

• ICML 2018-Predicting hyperparameters from meta-features in binaryclassification problems [pdf][code]

ML-Machine-Translation

• EMNLP 2018-Meta-Learning for Low-Resource Neural Machine Translation[pdf][code]

• Computation and Language-Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning[pdf]

ML-Auto-Meachine-Learning

• ICML 2018-P4ML: A Phased Performance-Based Pipeline Planner for Automated Machine Learning[pdf][code]

• ICML 2018-Practical Automated Machine Learning for the AutoML Challenge[pdf]

• ICML 2018-AlphaD3M: Machine Learning Pipeline Synthesis[pdf]

• ICML 2018-Towards Further Automation in AutoML[pdf]

• NIPS 2019-Unsupervised Curricula for Visual Meta-Reinforcement Learning[pdf]

ML-Vision&Language

• EMNLP 2019-Towards Zero-shot Language Modeling[pdf]

• CVPR 2019-Meta-Learning With Differentiable Convex Optimization[pdf][code]

• ICCV 2019-Meta-Learning to Detect Rare Objects[pdf][code]

• CVPR 2019-Meta-Transfer Learning for Few-Shot Learning[pdf][code]

• CVPR 2019-Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning[pdf][code]

• ICCV 2019-MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning[pdf][code]

ML-Question-Answering

• ECCV 2018-Visual Question Answering as a Meta Learning Task[pdf]

ML-Others

• AAAI 2019-A Meta-Learning Approach for Custom Model Trainingp[pdf]

• NeurIPS 2017-Meta-learning for instance-level data association[pdf]

• ICML 2017-Model-agnostic meta-learning for fast adaptation of deep networksp[pdf][code]

• ICML 2018-Scalable Meta-Learning for Bayesian Optimization using Ranking-Weighted Gaussian Process Ensembles[pdf][code]

Lifelong-Learning

LLL-Survey

• AGI 2011-Machine lifelong learning: challenges and benefits for artificial general intelligence[pdf]
• arxiv-Continual Lifelong Learning with Neural Networks: A Review[pdf]
• book-Lifelong Machine Learning[pdf]

LLL-Theory

• AAAI Spring Symposium 2013-Lifelong Machine Learning Systems: Beyond Learning Algorithms[pdf]
• arxiv-An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks[pdf]
• arxiv-Continual learning: A comparative study on how to defy forgetting in classification tasks[pdf]
• arxiv-Three scenarios for continual learning[pdf][code]

LLL-Approaches

• CVPR 2017-Expert Gate: Lifelong Learning with a Network of Experts[pdf]
• NeurIPS 2017-Continual learning with deep generative replay[pdf]
• ICLR 2018-Brain-inspired model for incremental learning[pdf]
• ICCV 2017-Encoder Based Lifelong Learning[pdf][code]
• NeurIPS 2018-Reinforced Continual Learning[pdf]
• ICML 2017-Continual Learning Through Synaptic Intelligence[pdf][code]
• NeurIPS 2019-Experience Replay for Continual Learning[pdf]
• ICLR 2019-Learning to learn without forgetting by maximizing transfer and minimizing interference[pdf][code]

Graph-Neural-Networks

GNN-Survey

• arxiv 2018-Graph Neural Networks: A Review of Methods and Applications[pdf]
• arxiv 2019-A Comprehensive Survey on Graph Neural Networks[pdf]
• arxiv 2018-Deep Learning on Graphs: A Survey[pdf]

GNN-Types

• ICLR 2019-DyRep: Learning Representations over Dynamic Graphs[pdf]
• AAAI 2019-Hypergraph Neural Networks[pdf]
• WWW 2019-Heterogeneous Graph Attention Network[pdf]
• IJCAI 2019-GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks[pdf]
• NeurIPS 2019-HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs[pdf]
• ICLR 2020-Composition-based Multi-Relational Graph Convolutional Networks[pdf]

GNN-NLP

• AAAI 2019-Graph Convolutional Networks for Text Classification[pdf]
• ACL 2019-Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network[pdf]
• TACL 2018-Conversation Modeling on Reddit using a Graph-Structured LSTM[pdf]
• EMNLP 2017-Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling[pdf]
• AAAI 2018-Graph Convolutional Networks with Argument-Aware Pooling for Event Detection[pdf]
• NAACL 2018-Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks[pdf]
• ACL 2018-Graph-to-Sequence Learning using Gated Graph Neural Networks[pdf]
• AAAI 2019-Graph Convolutional Networks for Text Classification[pdf]

GNN-CV

• CVPR 2017-The More You Know: Using Knowledge Graphs for Image Classification[pdf]
• CVPR 2018-Dynamic Graph CNN for Learning on Point Clouds[pdf]
• CVPR 2018-PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation[pdf]
• IJCAI 2018-Deep Reasoning with Knowledge Graph for Social Relationship Understanding[pdf]