Label Smoothing is a Pragmatic Information Bottleneck

Fuente: arXiv
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Main Author: Kudo, Sota
Format: Preprint
Published: 2025
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author Kudo, Sota
author_facet Kudo, Sota
contents This study revisits label smoothing via a form of information bottleneck. Under the assumption of sufficient model flexibility and no conflicting labels for the same input, we theoretically and experimentally demonstrate that the model output obtained through label smoothing explores the optimal solution of the information bottleneck. Based on this, label smoothing can be interpreted as a practical approach to the information bottleneck, enabling simple implementation. As an information bottleneck method, we experimentally show that label smoothing also exhibits the property of being insensitive to factors that do not contain information about the target, or to factors that provide no additional information about it when conditioned on another variable.
format Preprint
id arxiv_https___arxiv_org_abs_2508_14077
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Label Smoothing is a Pragmatic Information Bottleneck
Kudo, Sota
Machine Learning
Artificial Intelligence
68T05
I.2.6; I.5.1
This study revisits label smoothing via a form of information bottleneck. Under the assumption of sufficient model flexibility and no conflicting labels for the same input, we theoretically and experimentally demonstrate that the model output obtained through label smoothing explores the optimal solution of the information bottleneck. Based on this, label smoothing can be interpreted as a practical approach to the information bottleneck, enabling simple implementation. As an information bottleneck method, we experimentally show that label smoothing also exhibits the property of being insensitive to factors that do not contain information about the target, or to factors that provide no additional information about it when conditioned on another variable.
title Label Smoothing is a Pragmatic Information Bottleneck
topic Machine Learning
Artificial Intelligence
68T05
I.2.6; I.5.1
url https://arxiv.org/abs/2508.14077