Nov 2, 2022 · We investigate a set of related information funnels and bottleneck problems that claim to learn invariant representations from the data.
TL;DR: In this article , the authors investigate a set of related information funnels and bottleneck problems that claim to learn invariant representations ...
Title: FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning. Authors: João Machado de Freitas, Bernhard C. Geiger. Comments: 28 ...
FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning. CoRR abs/2211.01446 (2022); 2021. [j21]. view. electronic edition via DOI ...
May 31, 2022 · FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning · Compressed Hierarchical Representations for Multi-Task ...
In this theory paper, we investigate training deep neural networks (DNNs) for classification via minimizing the information bottleneck (IB) functional. General ...
In this study, we apply the information-theoretic Privacy Funnel (PF) model to the domain of face recognition, developing a novel method for privacy-preserving ...
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FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning · Information Bottleneck Analysis by a Conditional Mutual Information Bound.
Apr 27, 2024 · Bottleneck problems are an important class of optimization problems that have recently gained increasing attention in the domain of machine ...
FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning. Learning invariant representations that remain useful for a downstream t...