Notes on deeplearning papers following original format by Denny Britz.
- 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]
- 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]
- Training Agent for First-Person Shooter Game With Actor-Critic Curriculum Learning [openreview]
- Asynchronous Methods for Deep Reinforcement Learning [arXiv]
- Deep Reinforcement Learning : An Overview [arXiv]
- 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]
- Building High-level Features Using Large Scale Unsupervised Learning [arXiv]
- Decoupled Neural Interfaces using Synthetic Gradients [arXiv]
- 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]
- 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]