yfzhang114/Generalization-Causality
A PhD student's organized reading notes and paper collection focused on domain generalization, out-of-distribution generalization, robustness, and causal machine learning.
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This repository organizes academic papers and personal reading notes on topics including domain generalization, out-of-distribution detection, data-centric learning, prompt learning, and causal inference in machine learning. The author, a PhD researcher in pattern recognition, curates papers from top ML venues like NeurIPS, ICML, and ICLR with links to their own annotated summaries and associated code repositories.