// the find
dennybritz/deeplearning-papernotes
Summaries and notes on Deep Learning research papers
A personal reading list of deep learning papers organized by month, maintained by Denny Britz from roughly 2015–2018. Some entries include linked markdown notes with actual summaries; most are bare links. This is one person's reading log made public, not a structured reference or collaborative resource.
The time-ordered format makes it useful as a historical snapshot of what mattered in deep learning circa 2016–2018, covering the period when attention mechanisms, GANs, and deep RL were all breaking simultaneously. The notes that do exist (noisy-networks, hindsight-ep, self-attention-embedding, etc.) are concise and technically focused — better than most blog posts of the era. The breadth is real: NLP, RL, vision, speech, and systems papers all mixed together rather than siloed by subdomain. Links go to arXiv, code repos, and blog posts, so you can follow a paper to its implementation quickly.
Dead since February 2018 — over seven years of papers are missing, which includes the entire transformer era, diffusion models, and LLMs. The majority of entries are bare links with zero commentary, so it functions more as a bookmark file than a notes collection. Only a small fraction of listed papers have actual notes in the `notes/` directory, with no obvious signal for which ones are worth reading. Many external links likely rot over time (deepmind.com blog posts, S3 URLs, university pages).