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Deep Learning Papers TLDR

My collection of notes on deep learning papers.

To take a look at some of my projects and notes on deep learning that's not directly related to literature research, go here: @episodeyang/deep_learning_notes

This repository is motivated by Andrew Ng's The Saturday Story, with the hope that eventually I will become a good deep learning researcher.

Current Week

I will keep this todo list short. This is what I'm working on this week.

Neural-Programmer Interpreter implementation (pyTorch)

see deep_learning_notes repo for the code.

Information Theory Notes (WIP)

Bayesian Optimizations

Closely related to statistical ideas of ¹

Methodologically, it touches on several important machine learning areas: active learning, contextual bandits, Bayesian nonparametrics

ICLR 2017 Best Papers

Attention

Table of Contents

ICLR 2017 Best Papers

Neural Compression and Techniques

Sources

The source of this repo is mostly:

Other Repos

My lab-mate Nelson's notes can be seen here.