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

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kudo, Sota, Ono, Naoaki, Kanaya, Shigehiko, Huang, Ming
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Information Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Internet

https://arxiv.org/abs/2402.01238