Everything about Transfer Learning. 有关迁移学习的一切资料.
Papers • Tutorials • Research areas • Theory • Survey • Code • Dataset & benchmark
Thesis • Scholars • Contests • Journal/conference • Applications • Others • Contributing
Widely used by top conferences and journals:
- Conferences: [CVPR’22] [NeurIPS’21] [IJCAI’21] [ESEC/FSE’20] [IJCNN’20] [ACMMM’18] [ICME’19]
- Journals: [IEEE TKDE] [ACM TIST] [Information sciences] [Neurocomputing] [IEEE Transactions on Cognitive and Developmental Systems]
@Misc{transferlearning.xyz,
howpublished = {\url{http://transferlearning.xyz}},
title = {Everything about Transfer Learning and Domain Adapation},
author = {Wang, Jindong and others}
}
Related repos：
- Large language model evaluation: [llm-eval]
- Large language model enhancement: [llm-enhance]
- Robust machine learning: [robustlearn: robust machine learning]
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Semi-supervised learning: [USB: unified semi-supervised learning benchmark] [TorchSSL: a unified SSL library] - LLM benchmark: [PromptBench: adverarial robustness of prompts of LLMs]
- Federated learning: [PersonalizedFL: library for personalized federated learning]
- Activity recognition and machine learning [Activity recognition]｜[Machine learning]