6 citations · 15 across the 11 of their papers we have counts for
4 papers · 1 filter
Automatic Domain Adaptation by Transformers in In-Context Learning
Ryuichiro Hataya, Kota Matsui, Masaaki Imaizumi
Selecting or designing an appropriate domain adaptation algorithm for a given problem remains challenging. This paper presents a Transformer model that can provably approximate and…
Quantum Circuit -algebra Net
Yuka Hashimoto, Ryuichiro Hataya
This paper introduces quantum circuit -algebra net, which provides a connection between -algebra nets proposed in classical machine learning and quantum circuits. Using $…
Glocal Hypergradient Estimation with Koopman Operator
Ryuichiro Hataya, Yoshinobu Kawahara
Gradient-based hyperparameter optimization methods update hyperparameters using hypergradients, gradients of a meta criterion with respect to hyperparameters. Previous research use…
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…