Top Papers
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms.
Caffe: Convolutional Architecture for Fast Feature Embedding
The framework is a BSD-licensed C++ library with Python and MATLAB bindings for training and deploying general-purpose convolutional neural networks and other deep models efficiently on commodity architectures.
Detectron
ECCV 2018
• facebookresearch/detectron
• 
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
FastText.zip: Compressing text classification models
We consider the problem of producing compact architectures for text classification, such that the full model fits in a limited amount of memory.
Enriching Word Vectors with Subword Information
TACL 2017 • facebookresearch/fastText
A vector representation is associated to each character $n$-gram; words being represented as the sum of these representations.
Bag of Tricks for Efficient Text Classification
EACL 2017 • facebookresearch/fastText
This paper explores a simple and efficient baseline for text classification.
A Neural Algorithm of Artistic Style
In fine art, especially painting, humans have mastered the skill to create unique visual experiences through composing a complex interplay between the content and style of an image.
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
• openai/gym
• 
The purpose of this technical report is two-fold.