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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