yfzhang114/Generalization-Causality resource

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1241 stars · 102 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated collection of academic papers with the author's personal reading notes covering domain generalization, out-of-distribution robustness, causality, test-time adaptation, prompt learning, and LLM safety. It serves as an ongoing literature survey organized by topic and year, updated with recent conference papers.

Use cases

• find papers on domain generalization
• learn about out-of-distribution robustness research
• survey causality in machine learning
• keep up with test-time adaptation papers
• find reading notes on OOD detection
• research prompt learning and data-centric learning
• study robustness and fairness literature

When to choose

• you want a curated, annotated reading list for OOD generalization and causality research
• you are a researcher or student surveying domain adaptation and robustness literature
• you want links to papers plus the author's own notes and related code

When to avoid

• you need runnable software or a library rather than a paper collection
• you need exhaustive coverage rather than one researcher's curated selection
• you want notes in English - many notes link to Chinese-language articles

Facets

learning-resource · maturity active

documentation machine-learning deep-learning machine-learning deep-learning tutorials awesome-lists reading-notes awesome-list domain-generalization out-of-distribution causality test-time-adaptation robustness prompt-learning paper-curation web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="yfzhang114/Generalization-Causality")