nolsigan/deeplearning-papernotes

Notes on deeplearning papers following original format by Denny Britz

deeplearning-papernotes

Notes on deeplearning papers following original format by Denny Britz.

2017-06

• Attention Is All You Need [arXiv]
• Towards Principled Unsupervised Learning [arXiv]
• Learning to Reason: End-to-End Module Networks for Visual Question Answering [arXiv]
• StreetStyle: Exploring world-wide clothing styles from millions of photos [arXiv]
• Learning Neural Programs To Parse Programs [arXiv]
• FeUdal Networks for Hierarchical Reinforcement Learning [arXiv]
• Learning to Compute Word Embeddings On the Fly [arXiv]
• Physics 101: Learning Physical Object Properties from Unlabeled Videos [phys101]
• DeepCoder: Learning to Write Programs [arXiv]
• Visual Interaction Network [arXiv]
• A simple neural network module for relational reasoning [arXiv]
• DeepCoder: Learning to Write Programs [arXiv]
• Making Neural Programming Architectures Generalize via Recursion [arXiv]
• Neural Programmer-Interpreters [arXiv]

2017-05

• Neural Map: Structured Memory for Deep Reinforcement Learning [arXiv]
• RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning [arXiv]
• Automatic Goal Generation for Reinforcement Learning Agents [arXiv]
• Deep Successor Reinforcement Learning [arXiv]
• Curiosity-driven Exploration by Self-supervised Prediction [blog]
• Learning from Demonstrations for Real World Reinforcement Learning [arXiv]
• Learning to Act by Predicting the Future [arXiv]

2017-04

• Training Agent for First-Person Shooter Game With Actor-Critic Curriculum Learning [openreview]
• Asynchronous Methods for Deep Reinforcement Learning [arXiv]

2017-03

• Deep Reinforcement Learning : An Overview [arXiv]

2017-02

• Human-level control through deep reinforcement learning [Nature]

2017-01

• Playing Atari with Deep Reinforcement Learning [arXiv]
• Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks [arXiv]
• U-Net: Convolutional Networks for Biomedical Image Segmentation [arXiv]
• DRAW: A Recurrent Neural Network For Image Generation [arXiv]
• Generative Adversarial Nets [arXiv]
• Auto-Encoding Variational Bayes [arXiv]

2016-12

• Building High-level Features Using Large Scale Unsupervised Learning [arXiv]
• Decoupled Neural Interfaces using Synthetic Gradients [arXiv]

2016-11

• Connectionist Temporal Classification: Labelling unsegmented Sequence Data with Recurrent Neural Networks [ICML]
• Reading Scene Text in Deep Convolutional Sequences [arXiv]
• Reading Text in the Wild with Convolutional Neural Networks [arXiv]
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift [arXiv]
• ImageNet Classification with Deep Convolutional Neural Networks [NIPS]
• Deep Residual Learning for Image Recognition [arXiv]

2016-10

• WaveNet: A Generative Model for Raw Audio [arXiv]
• Neural Turing Machines [arXiv]
• Show, Attend and Tell: Neural Image Caption Generation with Visual Attention [arXiv]
• Visualizing and Understanding Neural Models in NLP [arXiv]
• Sequence to Sequence Learning with Neural Networks [arXiv]