Computer Vision
Wide-Residual-Nets
Visualizing and Understanding Convolutional Networks
Very-Deep-Convolutional-Networks-For-Large-Scale-Image-Recognition
Show-and-Tell-A-Neural-Image-Caption-Generator
Semi-supervised-Convolutional-Neural-Networks-for-Text-Categorization-via-Region-Embedding
Rethinking-the-Inception-Architecture-for-Computer-Vision-Inception-v3
One-weird-trick-for-parallelizing-convolutional-neural-networks
Matrix-Capsules-with-EM-rounting
Long-term-Recurrent-Convolutional-Networks-for-Visual-Recognition-and-Description
ImageNet Classification with Deep Convolutional Neural Networks
Identity-Mappings-in-Deep-Residual-Networks
Going-deeper-with-convolutions
Dynamic-Routing-between-capsules
Deep-Residual-Learning-for-Image-Recognition
Batch-Normalization-Accelerating-Deep-Network-Training-by-Reducing-Internal-Covariate-Shift
Natural Language Processing
Visualizing and Understanding Recurrent Networks
SocherPenningtonHuangNgManning EMNLP2011
Sequence to Sequence Learning
Recursive Deep Models for Semantic Compositionality
Recurrent Convolutional Neural Networks for Text Classification
Paper 57 Sentiment Analysis using Deep Learning
On Using Very Large Target Vocabulary for Neural Machine Translation
On the Properties of Neural Machine Translation Encoder-Decoder seq2seq
Neural Machine Translation of Rare Words with Subword Units
Neural Machine Translation by Jointly Learning to Align and Translate seq2seq with attention
Neural Machine Translation and Sequence to sequence Models a Tutorial
Memory_Networks
Learning text representation using recurrent convolutional neural network with highway layers
Learning Phrase Representations using RNN Encoder–Decoder seq2seq
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model
Google’s Neural Machine Translation System Bridging the Gap between Human and Machine Translation
Generating News Headlines with Recurrent Neural
Deep Almond A Deep Learning-based Virtual
Beam Search Strategies for Neural Machine Translation
Addressing the Rare Word Problem in Neural Machine Translation
Achieving Open Vocabulary Neural Machine Translation
Abstractive Text Summarization using Sequence to sequence RNNs and Beyond
A_neural_conversational_model
Deep Reinforcement Learning
Replicating DeepMind
Playing Atari with Deep Reinforcement Learning
Monte Carlo Methods Kalos Whitlock
Mastering the Game of Go without Human Knowledge
Mastering the game of Go with deep neural networks and tree search
Mastering Chess and Shogi by Self Play with a General Reinforcement Learning Algorithm