arXivTimes

Why we included this project

Keeping up with machine learning means watching a firehose of new papers, and most of us cannot read them all. arXivTimes is a community index where volunteers post short summaries of interesting work as GitHub issues, each with a one-line takeaway, a link to the paper, and the submission date. Beyond the summaries, it collects datasets and implementation tools, and it keeps track of which covered papers later got accepted at conferences like NIPS, ICLR, and CVPR. This is not a tool you deploy; it is a reading list maintained by people who do the skimming so you can start from the good stuff.