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2024 ICML ICML 2024

Polynomial-based Self-Attention for Table Representation Learning

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

Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park

Topics

Machine Learning > Core Methods > Representation Learning Machine Learning > Optimization & Theory > Optimization Deep Learning > Architectures > Transformers

Keywords

self attention matrix polynomial model scalability table representation learning over smoothing representation performance
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