terryum/awesome-deep-learning-papers

The most cited deep learning papers

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[](https://github.com/sindresorhus/awesome) [Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers (2012-2016) We believe that there exist classic deep learning papers which are worth reading regardless of their application domain. Rather than providing overwhelming amount of papers, We would like to provide a curated list of the awesome deep learning papers which are considered as must-reads in certain research domains. Before this list, there exist other awesome deep learning lists, for example, Deep Vision and Awesome Recurrent Neural Networks. Also, after this list comes out, another awesome list for deep learning beginners, called Deep Learning Papers Reading Roadmap, has been created and loved by many deep learning researchers. Although the Roadmap List includes lots of important deep learning papers, it feels overwhelming for me to read them all.…

terryum/awesome-deep-learning-papers on GitHub A short preview, not the full document.

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Inside the original README — Document outline
  1. Awesome - Most Cited Deep Learning Papers
  2. Background
  3. Awesome list criteria
  4. Contents
  5. Understanding / Generalization / Transfer
  6. Optimization / Training Techniques
  7. Unsupervised / Generative Models
  8. Convolutional Neural Network Models
  9. Image: Segmentation / Object Detection
  10. Image / Video / Etc
  11. Natural Language Processing / RNNs
  12. Speech / Other Domain

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What this repository does

The most cited deep learning papers

Repository facts

Owner
terryum
Primary language
TeX
Stars
26,200
Forks
4,397
Open issues + pull requests
38
License
Not reported — inspect the license file
Archived
No
Default branch
master
Created
2016-06-03T06:48:30.000Z
Last push
2024-01-18T13:29:44.000Z

Topics and intended use

Owner-supplied topics: deep-learning, deep-neural-networks, machine-learning

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Source: GitHub. Metadata observed 2026-11-01T12:19:42.808Z. Daily imports are snapshots, not real-time monitoring.

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