Data-centric Learning

Tiny object (TO)

Based on the following:

• https://github.com/kuanhungchen/awesome-tiny-object-detection

Imbalanced data

Based on the following:

• https://paperswithcode.com/sota/image-classification-on-imagenet 

• https://paperswithcode.com/sota/image-classification-on-inaturalist 

• https://paperswithcode.com/sota/long-tail-learning-on-places-lt 

• https://paperswithcode.com/sota/long-tail-learning-on-imagenet-lt 

• https://github.com/ZhiningLiu1998/awesome-imbalanced-learning

• https://github.com/solegalli/machine-learning-imbalanced-data?tab=readme-ov-file

• https://github.com/scikit-learn-contrib/imbalanced-learn

• https://github.com/ntucllab/imbalanced-DL

• https://github.com/zzw-zwzhang/Awesome-of-Long-Tailed-Recognition 

• https://github.com/GZWQ/Awesome-Long-Tailed 

• https://github.com/Vanint/Awesome-LongTailed-Learning 

• https://github.com/dvlab-research/Imbalanced-Learning

• https://github.com/YyzHarry/imbalanced-regression

• https://github.com/ZhiningLiu1998/imbalanced-ensemble

• https://github.com/Albertsr/Class-Imbalance

• https://github.com/danielgy/Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning

• https://github.com/miriamspsantos/open-source-imbalance-overlap

• https://github.com/PacktPublishing/Machine-Learning-for-Imbalanced-Data

• https://github.com/paobranco/ImbalancedLearningRegression 

Domain adaptation (DA) and domain generalization

Based on the following:

https://github.com/shizhediao/awesome-domain-adaptation-NLP

https://github.com/adapt-python/adapt

https://github.com/jvanvugt/pytorch-domain-adaptation/tree/master 

https://github.com/zhaoxin94/awesome-domain-adaptation 

Open-world (OW)

Based on the following: 

• https://github.com/iCGY96/awesome_OpenSetRecognition_list

• https://github.com/jianzongwu/Awesome-Open-Vocabulary

• https://github.com/witnessai/Awesome-Open-Vocabulary-Object-Detection

• https://github.com/YimingCuiCuiCui/awesome-open-vocabulary-object-detection

Explainable AI

Based on the following:

• https://github.com/wangyongjie-ntu/Awesome-explainable-AI

• https://github.com/altamiracorp/awesome-xai 

• https://github.com/cbg-ethz/bmi

• https://github.com/thanhkien84/awesome-ExplainableAI

• https://github.com/Plankson/awesome-explainable-reinforcement-learning

• https://github.com/ChristosChristofidis/awesome-deep-learning

• https://github.com/lopusz/awesome-interpretable-machine-learning

• https://github.com/MinghuiChen43/awesome-trustworthy-deep-learning

• https://github.com/zhimin-z/awesome-awesome-artificial-intelligence

• https://jacobgil.github.io/pytorch-gradcam-book/introduction.html

• https://project.inria.fr/hyaiai/related-links/

• https://github.com/interpretml/interpret

• https://github.com/jphall663/awesome-machine-learning-interpretability#python 

Safety, security and privacy of AI

Based on the following:

• https://github.com/thunlp/TAADpapers

• https://github.com/idrl-lab/Adversarial-Attacks-on-Object-Detectors-Paperlist

• https://github.com/JindongGu/Awesome_Adversarial_Transferability

• https://github.com/ThuCCSLab/Awesome-LM-SSP/tree/main

• https://github.com/Trusted-AI/adversarial-robustness-toolbox

• https://github.com/cleverhans-lab/cleverhans

• https://github.com/jiakaiwangCN/awesome-physical-adversarial-examples

• https://nicholas.carlini.com/writing/2019/all-adversarial-example-papers.html

Tabular Data

Based on the following:

• https://github.com/SpursGoZmy/Awesome-Tabular-LLMs

• https://github.com/johnnyhwu/Awesome-LLM-Tabular

• https://github.com/SuDIS-ZJU/awesome-tabular-data-augmentation

• https://github.com/wwweiwei/awesome-self-supervised-learning-for-tabular-data

• https://github.com/EthicalML/awesome-production-machine-learning

Video computer vision

Based on the following:

• https://github.com/suhwan-cho/awesome-video-object-segmentation

• https://github.com/HuaizhengZhang/Awsome-Deep-Learning-for-Video-Analysis

• https://github.com/matthewvowels1/Awesome-Video-Generation 

• https://github.com/gaomingqi/Awesome-Video-Object-Segmentation 

• https://github.com/Malitha123/awesome-video-self-supervised-learning 

• https://github.com/xiaobai1217/Awesome-Video-Datasets 

• https://github.com/danieljf24/awesome-video-text-retrieval 

Volumetric computer vision

Based on the following

• https://github.com/flamato/3D-computer-vision-resources

• https://github.com/timzhang642/3D-Machine-Learning/tree/master 

• https://github.com/mint-lab/3dv_tutorial

• https://github.com/dragonlong/Trending-in-3D-Vision