Search Results for author: Sota Kudo

Found 1 papers, 1 papers with code

Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training

1 code implementation2 Feb 2024 Sota Kudo, Naoaki Ono, Shigehiko Kanaya, Ming Huang

We theoretically demonstrate that across all values of reasonable $\beta$, FVIB can simultaneously maximize an approximation of the objective function for Variational Information Bottleneck (VIB), the conventional IB method.

Data Compression

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