https://github.com/zhjohnchan/awesome-interesting-topics-in-nlp

A curated list of interesting topics in NLP. :-)
https://github.com/zhjohnchan/awesome-interesting-topics-in-nlp

List: awesome-interesting-topics-in-nlp

Last synced: about 1 month ago
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A curated list of interesting topics in NLP. :-)

• Host: GitHub
• URL: https://github.com/zhjohnchan/awesome-interesting-topics-in-nlp
• Owner: zhjohnchan
• Created: 2021-10-30T12:33:13.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2021-10-30T17:59:21.000Z (about 3 years ago)
• Last Synced: 2024-04-21T05:10:52.490Z (8 months ago)
• Homepage:
• Size: 1.11 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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• ultimate-awesome - awesome-interesting-topics-in-nlp - A curated list of interesting topics in NLP. :-). (Other Lists / PowerShell Lists)

README

        
# Awesome Interesting Topics in NLP[![Awesome](https://awesome.re/badge.svg)](https://awesome.re)



  



A curated list of interesting topics in NLP. :-)

## Contributing

Please feel free to send me [pull requests](https://github.com/zhjohnchan/awesome-interesting-topics-in-nlp/pulls) or email ([email protected]) to add links.

## Topics

 - [Survey](https://github.com/zhjohnchan/awesome-nlp-surveys):

 [NLP](https://github.com/zhjohnchan/awesome-nlp-surveys),

 [NLP](https://github.com/NiuTrans/ABigSurvey).

 - [Causality](https://github.com/zhjohnchan/awesome-causality-in-nlp):

 [NLP](https://github.com/zhjohnchan/awesome-causality-in-nlp),

 [NLP](https://github.com/causaltext/causal-text-papers),

 [NLP](https://github.com/fulifeng/Causal_Reading_Group),

 [NLP](https://github.com/zhijing-jin/Causality4NLP_Papers),

 [CV](https://github.com/wangzheng17/awesome-causal-vision),

 [CV](https://github.com/Wangt-CN/Awesome-Causality-in-CV),

 [ML](https://github.com/napsternxg/awesome-causality),

 [ML](https://github.com/rguo12/awesome-causality-algorithms),

 [ML](https://github.com/jvpoulos/causal-ml),

 [RL](https://github.com/debmandal/RL-Causality),

 [Resource](https://github.com/imirzadeh/awesome-causal-inference).

 - [Medical NLP](https://github.com/zhjohnchan/awesome-medical-nlp):

 [NLP](https://github.com/zhjohnchan/awesome-medical-nlp),

 [NLP](https://github.com/GanjinZero/awesome_Chinese_medical_NLP),

 [CV](https://github.com/xinario/awesome-gan-for-medical-imaging),

 [DL](https://github.com/Engineering-Course/Awesome-Medical-Research).

 - [Pre-training](https://github.com/zhjohnchan/awesome-pretraining-in-nlp):

[NLP](https://github.com/zhjohnchan/awesome-pretraining-in-nlp),

[NLP](https://github.com/thunlp/PLMpapers),

[CVNLP](https://github.com/yuewang-cuhk/awesome-vision-language-pretraining-papers).

 - [Disentanglement](https://github.com/zhjohnchan/awesome-disentanglement-in-nlp):

[NLP](https://github.com/zhjohnchan/awesome-disentanglement-in-nlp),

[CV](https://github.com/sootlasten/disentangled-representation-papers).

 - [Domain Adaptation](https://github.com/zhjohnchan/awesome-domain-adaptation-in-nlp):

[NLP](https://github.com/zhjohnchan/awesome-domain-adaptation-in-nlp),

[NLP](https://github.com/shizhediao/awesome-domain-adaptation-NLP),

[CV](https://github.com/zhaoxin94/awesome-domain-adaptation).

 - [Few-shot Learning](https://github.com/zhjohnchan/awesome-few-shot-learning-in-nlp):

[NLP](https://github.com/zhjohnchan/awesome-few-shot-learning-in-nlp),

[ML](https://github.com/Duan-JM/awesome-papers-fewshot),

[ML](https://github.com/floodsung/Meta-Learning-Papers).

 - [Zero-shot Learning](https://github.com/zhjohnchan/awesome-zero-shot-learning-in-nlp):

[NLP](https://github.com/zhjohnchan/awesome-zero-shot-learning-in-nlp),

[CV](https://github.com/sbharadwajj/awesome-zero-shot-learning).

 - [Attack and Defense](https://github.com/zhjohnchan/awesome-adversarial-attack-and-defense-in-nlp):

[NLP](https://github.com/zhjohnchan/awesome-adversarial-attack-and-defense-in-nlp),

[ML](https://github.com/nebula-beta/awesome-adversarial-deep-learning),

[ML](https://github.com/stratosphereips/awesome-ml-privacy-attacks).

 - [Multi-task Learning](https://github.com/zhjohnchan/awesome-multi-task-learning-in-nlp):

[NLP](https://github.com/zhjohnchan/awesome-multi-task-learning-in-nlp),

[CV](https://github.com/SimonVandenhende/Awesome-Multi-Task-Learning).

 - [Contrastive Learning](https://github.com/zhjohnchan/awesome-contrastive-learning-in-nlp):

[NLP](https://github.com/zhjohnchan/awesome-contrastive-learning-in-nlp),

[CV](https://github.com/asheeshcric/awesome-contrastive-self-supervised-learning),

[CV](https://github.com/coder-duibai/Contrastive-Learning-Papers-Codes),

[CVNLP](https://github.com/VainF/Awesome-Contrastive-Learning),

[ML](https://github.com/ContrastiveSR/Contrastive_Learning_Papers).

 - [Reinforcement Learning](https://github.com/zhjohnchan/awesome-reinforcement-learning-in-nlp):

[NLP](https://github.com/zhjohnchan/awesome-reinforcement-learning-in-nlp),

[NLP](https://github.com/adityathakker/awesome-rl-nlp),

[RL](https://github.com/aikorea/awesome-rl).

## Licenses

[![CC0](http://i.creativecommons.org/p/zero/1.0/88x31.png)](http://creativecommons.org/publicdomain/zero/1.0/)

To the extent possible under law, [Zhihong Chen](https://github.com/zhjohnchan) has waived all copyright and related or neighboring rights to this work.