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2025 ICML ICML 2025

FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation

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

Kei Sen Fong, Mehul Motani

Topics

Artificial Intelligence > Core AI > Interpretability Machine Learning > Core Methods > Regression Machine Learning > Optimization & Theory > Optimization

Keywords

knowledge distillation multi-target regression piecewise distillation concise representations symbolic features tabnet
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