Computer Vision

Wide-Residual-Nets
4 April 2018/by Matteo Alberti
Visualizing and Understanding Convolutional Networks
31 March 2018/by Matteo Alberti
Very-Deep-Convolutional-Networks-For-Large-Scale-Image-Recognition
31 March 2018/by Matteo Alberti
Show-and-Tell-A-Neural-Image-Caption-Generator
31 March 2018/by Matteo Alberti
Semi-supervised-Convolutional-Neural-Networks-for-Text-Categorization-via-Region-Embedding
31 March 2018/by Matteo Alberti
Rethinking-the-Inception-Architecture-for-Computer-Vision-Inception-v3
31 March 2018/by Matteo Alberti
One-weird-trick-for-parallelizing-convolutional-neural-networks
31 March 2018/by Matteo Alberti
Matrix-Capsules-with-EM-rounting
31 March 2018/by Matteo Alberti
Long-term-Recurrent-Convolutional-Networks-for-Visual-Recognition-and-Description
31 March 2018/by Matteo Alberti
ImageNet Classification with Deep Convolutional Neural Networks
31 March 2018/by Matteo Alberti
Identity-Mappings-in-Deep-Residual-Networks
4 April 2018/by Matteo Alberti
Going-deeper-with-convolutions
31 March 2018/by Matteo Alberti
Dynamic-Routing-between-capsules
4 April 2018/by Matteo Alberti
Deep-Residual-Learning-for-Image-Recognition
31 March 2018/by Matteo Alberti
Batch-Normalization-Accelerating-Deep-Network-Training-by-Reducing-Internal-Covariate-Shift
31 March 2018/by Matteo AlbertiNatural Language Processing

Visualizing and Understanding Recurrent Networks
31 March 2018/by Matteo Alberti
SocherPenningtonHuangNgManning EMNLP2011
31 March 2018/by Matteo Alberti
Sequence to Sequence Learning
31 March 2018/by Matteo Alberti
Recursive Deep Models for Semantic Compositionality
31 March 2018/by Matteo Alberti
Recurrent Convolutional Neural Networks for Text Classification
31 March 2018/by Matteo Alberti
Paper 57 Sentiment Analysis using Deep Learning
31 March 2018/by Matteo Alberti
On Using Very Large Target Vocabulary for Neural Machine Translation
31 March 2018/by Matteo Alberti
On the Properties of Neural Machine Translation Encoder-Decoder seq2seq
31 March 2018/by Matteo Alberti
Neural Machine Translation of Rare Words with Subword Units
4 April 2018/by Matteo Alberti
Neural Machine Translation by Jointly Learning to Align and Translate seq2seq with attention
31 March 2018/by Matteo Alberti
Neural Machine Translation and Sequence to sequence Models a Tutorial
31 March 2018/by Matteo Alberti
Memory_Networks
4 April 2018/by Matteo Alberti
Learning text representation using recurrent convolutional neural network with highway layers
31 March 2018/by Matteo Alberti
Learning Phrase Representations using RNN Encoder–Decoder seq2seq
31 March 2018/by Matteo Alberti
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model
31 March 2018/by Matteo Alberti
Google’s Neural Machine Translation System Bridging the Gap between Human and Machine Translation
31 March 2018/by Matteo Alberti
Generating News Headlines with Recurrent Neural
31 March 2018/by Matteo Alberti
Deep Almond A Deep Learning-based Virtual
4 April 2018/by Matteo Alberti
Beam Search Strategies for Neural Machine Translation
4 April 2018/by Matteo Alberti
Addressing the Rare Word Problem in Neural Machine Translation
31 March 2018/by Matteo Alberti
Achieving Open Vocabulary Neural Machine Translation
31 March 2018/by Matteo Alberti
Abstractive Text Summarization using Sequence to sequence RNNs and Beyond
31 March 2018/by Matteo Alberti
A_neural_conversational_model
4 April 2018/by Matteo AlbertiDeep Reinforcement Learning

Replicating DeepMind
31 March 2018/by Matteo Alberti
Playing Atari with Deep Reinforcement Learning
31 March 2018/by Matteo Alberti
Monte Carlo Methods Kalos Whitlock
31 March 2018/by Matteo Alberti
Mastering the Game of Go without Human Knowledge
31 March 2018/by Matteo Alberti
Mastering the game of Go with deep neural networks and tree search
31 March 2018/by Matteo Alberti
Mastering Chess and Shogi by Self Play with a General Reinforcement Learning Algorithm
31 March 2018/by Matteo Alberti