Search Results for author: Keitaro Sakamoto

Found 2 papers, 1 papers with code

End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training

1 code implementation14 Feb 2024 Keitaro Sakamoto, Issei Sato

End-to-end (E2E) training, optimizing the entire model through error backpropagation, fundamentally supports the advancements of deep learning.

Information Plane

Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective

no code implementations15 May 2022 Keitaro Sakamoto, Issei Sato

The lottery ticket hypothesis (LTH) has attracted attention because it can explain why over-parameterized models often show high generalization ability.

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