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2018 May

2018 April

2018 March

2018 Febuary

2018 January

2017 September - October

2017 August

2017 July

2017 May

2017 April

2017 March

2017 February

2017 January

  • Deep Learning (Convoluational NN) [MIT Press]

2016 December

  • Rationalizing Neural Predictions [arXiv]
  • Using “Annotator Rationales” to Improve Machine Learning for Text Categorization [JHU]

2016 September

  • Why does deep and cheap learning work so well? [arXiv]

2016 August

  • Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks [arXiv]
  • Exploring the Limits of Language Modeling [arXiv]
  • Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering [arXiv]
  • Recurrent Models of Visual Attention [arXiv]
  • Playing Atari with Deep Reinforcement Learning [Toronto]
  • InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets [arXiv]
  • Improved Techniques for Training GANs [arXiv]
  • Neural Turing Machines [arXiv]
  • Harnessing Deep Neural Networks with Logic Rules [arXiv]
  • Random Search for Hyper-Parameter Optimization [JMLR]
  • Going Deeper with Convolutions [CVF]
  • Visualizing and Understanding Convolutional Networks [arXiv]
  • Bag of Tricks for Efficient Text Classification [arXiv]
  • A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task [arXiv]
  • Full Resolution Image Compression with Recurrent Neural Networks [arXiv]
  • Neural Module Networks [arXiv]
  • Deep Residual Learning for Image Recognition [arXiv]
  • Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift [arXiv]
  • Memory Networks [arXiv]
  • Natural Language Comprehension with the EpiReader [arXiv]
  • Learning to Compose Neural Networks for Question Answering [arXiv]
  • LSTM: A Search Space Odyssey [arXiv]
  • Deep Networks with Stochastic Depth [arXiv]
  • Open AI Research #1 [Link]
  • Human tests of materials for the Winograd Schema Challenge 2016 [NYU]

2016 July

  • Deep Learning (Chapters up to Regularization) [MIT Press]
  • You Only Die Once: Counting Common Sense for Coreference [Unpublished]
  • A PDTB-Styled End-to-End Discourse Parser [NUS]
  • Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition [emnlp]
  • Recursive Deep Models for Discourse Parsing [stanford]

2016 June

  • Key-Value Memory Networks for Directly Reading Documents [arXiv]
  • Learning to learn by gradient descent by gradient descent [arXiv]
  • Multilingual Language Processing From Bytes [arXiv]
  • Learning to Communicate with Deep Multi-Agent Reinforcement Learning [arXiv]
  • Iterative Alternating Neural Attention for Machine Reading [arXiv]
  • Gated-Attention Readers for Text Comprehension [arXiv]

2016 Pre-June

  • Globally Normalized Transition-Based Neural Networks [arXiv]
  • Adaptive Computation Time for Recurrent Neural Networks [arXiv]
  • Neural Machine Translation by Jointly Learning to Align and Translate [arXiv]
  • Alpha Go


  • Conditional Random Fields as Recurrent Neural Networks [arXiv]
  • Skip-Thought Vectors [arXiv]
  • Distributed Representations of Sentences and Documents [arXiv]
  • A Neural Algorithm of Artistic Style [arXiv]
  • Intriguing properties of neural networks [arXiv]
  • Difference Target Propagation [arXiv]
  • Long Short-Term Memory [cmu]