Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

A collection of awesome resources in Human Pose estimation.

Implementation of recent Deep Learning papers

High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

📓 A curated list of deep learning image matting papers and codes

Recent Deep Learning papers in NLU and RL

Summaries for exciting works in the field of Deep Learning.

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

📚 Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese

Machine/deep learning papers that address the topic of privacy in visual data.

A Pytorch implementation of the 2017 Huang et. al. paper "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"

Parallel random matrix tools and complexity for deep learning

Fast and Accurate User constrained Thumbnail Generation using Adaptive Convolutions. | ICASSP 2019 [ORAL]

Repository collecting resources and best practices to improve experimental rigour in deep learning research.

A curated list of papers exploring the limits of deep learning for NLP

NLP & imageについて幅広くサーベイする。

repository for my TLDR for deep learning papers (and SML papers!)

Deep Learning Paper Implementations in PyTorch

Code for "Five Hundred Deep Learning Papers, Graphviz and Python" (http://goo.gl/l1PIoi)

Notes on some important deep learning topics and paper summaries