There are some valuable resources listed here. The field of deep learning is moving really fast, and a lot of that research is available on arXiv. Andrej Karpathy built a tool that surfaces interesting papers: http://www.arxiv-sanity.com/ r/machinelearning tends to vote up significant work and news https://www.reddit.com/r/MachineLearning/ And this list of papers may be helpful: https://github.com/songrotek/Deep-Lear…
My biggest challenge with CS papers is figuring out how to actually read them. I've tried to read multiple CS papers and I still can't understand them. Am I doing something wrong?
I currently have a solution to try to fix this, it's still in pre-alpha stage:
www.wikipaper.org
If any HN'ers has time to help me I'd be much appreciative. For one thing I need help building a search index of existing wikipages.
There's been many, many attempts to solve this problem in the past but all of them have been fairly limited in featureset & momentum.