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Most important deep learning papers

on March 06, 2017

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A very good starting point for understanding deep learning state of art

Understanding / Generalization / Transfer
Optimization / Training Techniques
Unsupervised / Generative Models
Convolutional Network Models
Image Segmentation / Object Detection
Image / Video / Etc
Recurrent Neural Network Models
Natural Language Process
Speech / Other Domain
Reinforcement Learning / Robotics
More Papers from 2016

(More than Top 100)

New Papers : Less than 6 months
Old Papers : Before 2012
HW / SW / Dataset : Technical reports
Book / Survey / Review
Video Lectures / Tutorials / Blogs
Appendix: More than Top 100 : More papers not in the list

https://github.com/terryum/awesome-deep-learning-papers?utm_content=buffer63995&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer

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