causal representation 1domain generalization 1reweighting 1style disentanglement 1unsupervised adaptation 1
From the 1 of 2 linked papers with an AI index.
2 papers
stat.ML2026
Chaos Is a LADDER: Domain Generalization Beyond Invariance via Reweighting
Yuhang Jiang, Fengchuan Zhang, Sanguo Zhang +1
The paper introduces LADDER, a method for domain generalization that learns separate causal and style representations, freezes them, and reweights source-specific classifiers at in…
cs.LG2026
Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation
Zenghao Guan, Guojun Zhu, Yucan Zhou +4
Federated Class-Incremental Learning (FCIL) enables Class-Incremental Learning (CIL) from distributed data. Existing FCIL methods typically integrate old knowledge preservation int…