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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

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

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# 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.