Confounder-Free Continual Learning via Recursive Feature Normalization

Yash Shah; Camila Gonzalez; Mohammad H. Abbasi; Qingyu Zhao; Kilian M. Pohl; Ehsan Adeli

2025 ICML ICML 2025

Confounder-Free Continual Learning via Recursive Feature Normalization

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Yash Shah, Camila Gonzalez, Mohammad H. Abbasi, Qingyu Zhao, Kilian M. Pohl, Ehsan Adeli

Topics

Artificial Intelligence > Core AI > Causal Inference Machine Learning > Application Areas > Domain Adaptation Deep Learning > Architectures > Transformers

Keywords

continual learning catastrophic forgetting recursive least squares feature normalization equitable prediction confounders

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