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What is this?
A curated knowledge base covering transfer learning, domain adaptation, domain generalization and related subfields - papers, tutorials, code, datasets, scholars and surveys, maintained in both English and Chinese.
A curated knowledge base covering transfer learning, domain adaptation, domain generalization and related subfields - papers, tutorials, code, datasets, scholars and surveys, maintained in both English and Chinese.Is this a code library or a reading list?It's mainly a curated reading list and index of resources, not an installable package - though it links out to companion code toolboxes for hands-on experiments.
It's mainly a curated reading list and index of resources, not an installable package - though it links out to companion code toolboxes for hands-on experiments.Is the paper list still being updated?Yes, new papers are added with dated entries - the visible README tracks additions through February 2024 - but as a volunteer-curated list, how current it stays depends on contributor activity.
Yes, new papers are added with dated entries - the visible README tracks additions through February 2024 - but as a volunteer-curated list, how current it stays depends on contributor activity.What is DeepDA or DeepDG?They are the project's companion unified toolboxes - DeepDA for deep domain adaptation and DeepDG for deep domain generalization - linked from the Code section for hands-on experiments.
They are the project's companion unified toolboxes - DeepDA for deep domain adaptation and DeepDG for deep domain generalization - linked from the Code section for hands-on experiments.Does it only cover computer vision applications?No, the Applications section also covers NLP, time series, speech, medical/healthcare, recommendation systems, human activity recognition and autonomous driving.
No, the Applications section also covers NLP, time series, speech, medical/healthcare, recommendation systems, human activity recognition and autonomous driving.Are there resources for finding advisors or labs in this field?Yes, a dedicated Scholars section lists well-known transfer learning researchers along with their representative work and labs.
Yes, a dedicated Scholars section lists well-known transfer learning researchers along with their representative work and labs.Can I add my own paper or dataset to the list?Yes, the Contributing section explains how to submit papers, scholars or other resources to the repo.
Yes, the Contributing section explains how to submit papers, scholars or other resources to the repo.What are similar projects?Deep-Learning-Papers-Reading-Roadmap, le-wm, awesome-deep-learning-papers, LLMsPracticalGuide, awesome-computer-vision, Embodied-AI-Start, NLP-progress, 3D-Machine-Learning
Deep-Learning-Papers-Reading-Roadmap, le-wm, awesome-deep-learning-papers, LLMsPracticalGuide, awesome-computer-vision, Embodied-AI-Start, NLP-progress, 3D-Machine-Learning