6 citations · 31 across the 19 of their papers we have counts for
5 papers · 1 filter
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
Hiroki Naganuma, Ryuichiro Hataya, Kotaro Yoshida +1
In the field of computer vision, fine-tuning pre-trained models has become a prevalent strategy for out-of-distribution (OOD) generalization tasks. Different from most prior work t…
MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era
Leonardo Placidi, Ryuichiro Hataya, Toshio Mori +4
We introduce the first large-scale dataset, MNISQ, for both the Quantum and the Classical Machine Learning community during the Noisy Intermediate-Scale Quantum era. MNISQ consists…
Sketch-based Medical Image Retrieval
Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya +12
The amount of medical images stored in hospitals is increasing faster than ever; however, utilizing the accumulated medical images has been limited. This is because existing conten…
Nystrom Method for Accurate and Scalable Implicit Differentiation
Ryuichiro Hataya, Makoto Yamada
The essential difficulty of gradient-based bilevel optimization using implicit differentiation is to estimate the inverse Hessian vector product with respect to neural network para…
Noncommutative -algebra Net: Learning Neural Networks with Powerful Product Structure in -algebra
Ryuichiro Hataya, Yuka Hashimoto
We propose a new generalization of neural network parameter spaces with noncommutative -algebra, which possesses a rich noncommutative structure of products. We show that this…