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terryum
awesome-deep-learning-papers
TeX2016–2022
terryum / awesome-deep-learning-papers

awesome-deep-learning-papers

The most cited deep learning papers

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6Distinct people
6Mentions
0Explicit recommenders
26.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

The most cited deep learning papers

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

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Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 4:00:59 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year6 dated mentions

Observed mentions: 2016-11-08 15:17:47 UTC to 2022-10-11 18:49:06 UTC.

0122016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC101
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC211
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC202
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101

What Hacker News says

1 sources
mindcrime·Oct 11, 2022
Maybe one of the various Github "Awesome XYZ" lists that exists out there. https://github.com/terryum/awesome-deep-learning-papers https://endymecy.github.io/awesome-deeplearning-resources/ You might also track down the website for a DL class from a reputable university and mine the syllabus for a list of assigned readings. Do that for two or three such instances and you could probably come up with a pretty solid list. Or may just ask Carmack to share the list he was referring to? Does anybody know if he responds to Tweets / Twitter DM's, etc? EDIT: Also, check out https://paperswithcode.com/ EDIT 2: Also, not reading, but.. Andrej Karpathy has a Youtube channel now and has been putting up some videos on ML topics. Might be of interest? https://www.youtube.com/c/AndrejKarpathy
In Ask HN: Where can I find an updated AI reading list?

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