Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
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Updated
Dec 21, 2019
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
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.
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
📓 A curated list of deep learning image matting papers and codes
Summaries for exciting works in the field of Deep Learning.
Recent Deep Learning papers in NLU and RL
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
Deep Learning Paper Implementations in PyTorch
repository for my TLDR for deep learning papers (and SML papers!)
Code for "Five Hundred Deep Learning Papers, Graphviz and Python" (http://goo.gl/l1PIoi)
100+ AI Machine learning Deep learning Computer vision NLP Projects with code