Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/Doragd/Awesome-Paper-List
A curated list of repositories in which many NLP/CV/ML papers and related area resources are collected.
https://github.com/Doragd/Awesome-Paper-List
List: Awesome-Paper-List
Last synced: about 1 month ago
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A curated list of repositories in which many NLP/CV/ML papers and related area resources are collected.
- Host: GitHub
- URL: https://github.com/Doragd/Awesome-Paper-List
- Owner: Doragd
- Created: 2020-01-26T12:42:42.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2022-04-27T11:41:20.000Z (over 2 years ago)
- Last Synced: 2024-10-29T20:09:28.804Z (about 2 months ago)
- Homepage:
- Size: 1.79 MB
- Stars: 184
- Watchers: 7
- Forks: 30
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-github-repos - Doragd/Awesome-Paper-List - A curated list of repositories in which many NLP/CV/ML papers and related area resources are collected. (Others)
- ultimate-awesome - Awesome-Paper-List - A curated list of repositories in which many NLP/CV/ML papers and related area resources are collected. (Other Lists / Monkey C Lists)
README
# Awesome paper list
[](https://awesome.re)
A curated list of repositories in which many NLP/CV/ML papers and related area resources are collected.
## Tabel of Contents
- [Awesome paper list](#awesome-paper-list)
- [Tabel of Contents](#tabel-of-contents)
- [Contributing](#contributing)
- [Natural Language Processing](#natural-language-processing)
- [Computer Vision](#computer-vision)
- [Graphs](#graphs)
- [Knowledge Graph](#knowledge-graph)
- [MultiModality](#multimodality)
- [Others](#others)
- [Commensense](#commensense)
- [Time Series](#time-series)
- [Speech](#speech)
- [Causality](#causality)
- [Anomaly Detection](#anomaly-detection)
- [Thanks](#thanks)
## Contributing
The repository is under construction. Please feel free to send me [pull requests](https://github.com/Doragd/Awesome-Paper-List/pulls) or email (guodun.li#gmail.com) to add links. Markdown format:
```Markdown
- [Repository Name](link)
```
## Natural Language Processing
* [Machine Translation](https://github.com/maidis/awesome-machine-translation)
 
* [Text Classification](https://github.com/fendouai/Awesome-Text-Classification)
 
* [Sentiment Analysis](https://github.com/xiamx/awesome-sentiment-analysis)
 
* [Sentiment Analysis](https://github.com/laugustyniak/awesome-sentiment-analysis)
 
* [Sentiment Analysis](https://github.com/haiker2011/awesome-nlp-sentiment-analysis)
 
* [Aspect-Based Sentiment Analysis](https://github.com/ZhengZixiang/ABSAPapers)
 
* [Aspect-Based Sentiment Analysis](https://github.com/jiangqn/Aspect-Based-Sentiment-Analysis)
 
* [Machine Reading Comprehension](https://github.com/thunlp/RCPapers)
 
* [Machine Reading Comprehension](https://github.com/xanhho/Reading-Comprehension-Question-Answering-Papers)
 
* [Relation Extraction](https://github.com/thunlp/NREPapers)
 
* [Relation Extraction](https://github.com/roomylee/awesome-relation-extraction)
 
* [BERT-based Research](https://github.com/cedrickchee/awesome-bert-nlp)
 
* [Pre-trained Language Model](https://github.com/thunlp/PLMpapers)
 
* [Sememe Computation](https://github.com/thunlp/SCPapers)
 
* [Text Generation](https://github.com/THUNLP-MT/TG-Reading-List)
 
* [Text Generation](https://github.com/ChenChengKuan/awesome-text-generation)
 
* [Text Generation](https://github.com/tokenmill/awesome-nlg)
 
* [Text Generation](https://github.com/franxyao/Deep-Generative-Models-for-Natural-Language-Processing)
 
* [Pre-trained LM for Text Generation](https://github.com/FranxYao/Language-Model-Pretraining-for-Text-Generation)
 
* [Textual Adversarial Attack and Defense](https://github.com/thunlp/TAADpapers)
 
* [Dialogue System](https://github.com/jaromirsalamon/Awesome-Dialogue-System-Papers)
 
* [Dialogue System](https://github.com/ZhengZixiang/DSPapers)
 
* [Dialogue Generation](https://github.com/tsenghungchen/dialog-generation-paper)
 
* [Dialogue System](https://github.com/yajingsunno/dialogue-system-reading-paper-list)
 
* [Dialogue State Tracking](https://github.com/google-research-datasets/dstc8-schema-guided-dialogue)
 
* [Task-Oriented Dialogue](https://github.com/AtmaHou/Task-Oriented-Dialogue-Dataset-Survey)
 
* [Conversational AI](https://github.com/jianguoz/Conversational-AI)
 
* [Sentence Embeddings](https://github.com/Separius/awesome-sentence-embedding)
 
* [Question Answering](https://github.com/dapurv5/awesome-question-answering)
 
* [Knowledge Base Question Answering](https://github.com/BshoterJ/awesome-knowledge-graph-question-answering)
 
* [Text Style Transfer](https://github.com/fuzhenxin/Style-Transfer-in-Text)
 
* [Text Style Transfer](https://github.com/yd1996/awesome-text-style-transfer)
 
* [Text Matching](https://github.com/NTMC-Community/awesome-neural-models-for-semantic-match)
 
* [Text Summarization](https://github.com/luopeixiang/awesome-text-summarization)
 
* [Personal Emotional Stylized Dialog](https://github.com/fuzhenxin/Personal-Emotional-Stylized-Dialog)
 
* [Named Entity Recognition](https://github.com/pfliu-nlp/Named-Entity-Recognition-NER-Papers)
 
* [Biomedical NER](https://github.com/lingluodlut/BioNER-Progress)
 
* [Named Entity Recognition](https://github.com/ZhengZixiang/NERPapers)
 
* [Cross-lingual Information Retrieval](https://github.com/ryanzhumich/awesome-clir)
 
* [Information Retrieval](https://github.com/harpribot/awesome-information-retrieval)
 
* [Biomedical Entity Linking](https://github.com/umbrellabeach/awesome-Biomedical-EntityLinking-papers)
* [Open Information Extraction](https://github.com/NPCai/Open-IE-Papers)
* [Biomedical Information Extraction](https://github.com/caufieldjh/awesome-bioie)
## Computer Vision
* [Semantic Segmentation](https://github.com/mrgloom/awesome-semantic-segmentation)
* [Action Recognition](https://github.com/jinwchoi/awesome-action-recognition)
* [Image Classification](https://github.com/weiaicunzai/awesome-image-classification)
* [Image Retrieval](https://github.com/willard-yuan/awesome-cbir-papers)
* [Object Detection](https://github.com/amusi/awesome-object-detection)
* [Object Detection](https://github.com/hoya012/deep_learning_object_detection)
* [Image-to-image Translation](https://github.com/xiaweihao/awesome-image-translation)
* [Domain Adaptation](https://github.com/zhaoxin94/awesome-domain-adaptation)
* [vision-based SLAM / Visual Odometry](https://github.com/tzutalin/awesome-visual-slam)
* [Face-related](https://github.com/ChanChiChoi/awesome-Face_Recognition)
* [Scene Text Recognition](https://github.com/chongyangtao/Awesome-Scene-Text-Recognition)
* [Text Detection & Recognition](https://github.com/hwalsuklee/awesome-deep-text-detection-recognition)
## Graphs
* [Graph Neural Networks](https://github.com/nnzhan/Awesome-Graph-Neural-Networks)
* [Graph Neural Networks](https://github.com/thunlp/GNNPapers)
* [Graph Convolutional Networks](https://github.com/Jiakui/awesome-gcn)
* [Graph Classification](https://github.com/benedekrozemberczki/awesome-graph-classification)
* [Graph Representation Learning](https://github.com/ky-zhang/awesome-graph-representation-learning)
* [Graph Representation Learning](https://github.com/thunlp/NRLPapers)
* [Network Embeddings](https://github.com/chihming/awesome-network-embedding)
* [Knowledge Graph Embeddings](https://github.com/thunlp/KB2E)
* [Community Detection](https://github.com/benedekrozemberczki/awesome-community-detection)
* [Topological Data Analysis](https://github.com/FatemehTarashi/awesome-TDA)
* [Graph Adversarial Learning](https://github.com/safe-graph/graph-adversarial-learning-literature)
* [Graph Computing](https://github.com/jbmusso/awesome-graph)
## Knowledge Graph
* [Knowledge Graph Construction](https://github.com/songjiang0909/awesome-knowledge-graph-construction)
* [Knowledge Embeddings](https://github.com/thunlp/KRLPapers)
* [Knowledge Graph](https://github.com/husthuke/awesome-knowledge-graph)
* [Knowledge Graph](https://github.com/shaoxiongji/awesome-knowledge-graph)
* [Knowledge Graph](https://github.com/BrambleXu/knowledge-graph-learning)
* [Knowledge Graph](https://github.com/totogo/awesome-knowledge-graph)
## MultiModality
* [Image Captioning](https://github.com/zhjohnchan/awesome-image-captioning)
* [Image Captioning](https://github.com/forence/Awesome-Visual-Captioning)
* [Visual Question Answering](https://github.com/chingyaoc/awesome-vqa)
* [Visual Question Answering](https://github.com/jokieleung/awesome-visual-question-answering)
* [Visual Question Answering](https://github.com/DerekDLP/VQA-papers)
* [Multimodal Machine Translation](https://github.com/ZihengZZH/awesome-multimodal-machine-translation)
* [Visual Grounding](https://github.com/TheShadow29/awesome-grounding)
## Others
* [Weak Supervision](https://github.com/michael-aloys/awesome-weak-supervision)
* [Awesome-VAEs](https://github.com/matthewvowels1/Awesome-VAEs)
* [Unsupervised Learning](https://github.com/LongLong-Jing/awesome-unsupervised-learning)
* [Meta Learning](https://github.com/floodsung/Meta-Learning-Papers)
* [Few Shot Learning](https://github.com/e-271/awesome-few-shot-learning)
* [Few Shot Learning](https://github.com/Duan-JM/awesome-papers-fewshot)
* [Capsule Networks](https://github.com/sekwiatkowski/awesome-capsule-networks)
* [Decision Tree](https://github.com/benedekrozemberczki/awesome-decision-tree-papers)
* [Cell Detection & Segmentation](https://github.com/blakeliu/awesome-cell-detection-segmentation)
* [Fraud Detection](https://github.com/benedekrozemberczki/awesome-fraud-detection-papers)
* [Graph-based Fraud Detection](https://github.com/safe-graph/graph-fraud-detection-papers)
* [Legal Intelligence](https://github.com/thunlp/LegalPapers)
* [Data Augmentation](https://github.com/CrazyVertigo/awesome-data-augmentation)
* [Decision Making](https://github.com/jiachenli94/Awesome-Decision-Making-Reinforcement-Learning)
* [Multi-Label Learning](https://github.com/entropy2333/awesome-multi-label-paper-list)
## Commensense
* [Commonsense Reasoning](https://github.com/yhy1117/Commonsense_Reasoning_Papers)
* [Commonsense Modeling](https://github.com/wonderseen/Commonsense-Modeling)
## Time Series
* [Time Series](https://github.com/xephonhq/awesome-time-series-database)
* [Time Series](https://github.com/bighuang624/Time-Series-Papers)
* [Time Series in Python](https://github.com/MaxBenChrist/awesome_time_series_in_python)
* [Time Series Analysis](https://github.com/youngdou/awesome-time-series-analysis)
## Speech
* [Speech Recognition & Synthesis](https://github.com/zzw922cn/awesome-speech-recognition-speech-synthesis-papers)
* [End2End Speech Recognition](https://github.com/charlesliucn/awesome-end2end-speech-recognition)
* [Speech Enhancement](https://github.com/cyrta/awesome-speech-enhancement)
## Causality
* [Causal Reasoning](https://github.com/dragen1860/awesome-causal-reasoning)
* [Causal Inference](https://github.com/imirzadeh/awesome-causal-inference)
* [Causality Algorithms](https://github.com/rguo12/awesome-causality-algorithms)
* [Causality](https://github.com/napsternxg/awesome-causality)
* [Deep Causal Learning](https://github.com/huckiyang/awesome-deep-causal-learning)
## Anomaly Detection
* [Anomaly Detection](https://github.com/yzhao062/anomaly-detection-resources)
* [Anomaly Detection](https://github.com/hoya012/awesome-anomaly-detection)
* [Anomaly Detection on Time-Series Data](https://github.com/rob-med/awesome-TS-anomaly-detection)
## Thanks
Thanks to authors of all the repositories I cite. :)