1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks
Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka +3
Modern Hopfield networks (MHNs) have recently gained significant attention in the field of artificial intelligence because they can store and retrieve a large set of patterns with…
cs.CL2024
ELP-Adapters: Parameter Efficient Adapter Tuning for Various Speech Processing Tasks
Nakamasa Inoue, Shinta Otake, Takumi Hirose +2
Self-supervised learning has emerged as a key approach for learning generic representations from speech data. Despite promising results in downstream tasks such as speech recogniti…
cs.LG2022★ 1 cited
PoF: Post-Training of Feature Extractor for Improving Generalization
Ikuro Sato, Ryota Yamada, Masayuki Tanaka +2
It has been intensively investigated that the local shape, especially flatness, of the loss landscape near a minimum plays an important role for generalization of deep models. We d…