2 citations · 5 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2024★ 2 cited
Scaling Law of Sim2Real Transfer Learning in Expanding Computational Materials Databases for Real-World Predictions
Shunya Minami, Yoshihiro Hayashi, Stephen Wu +6
To address the challenge of limited experimental materials data, extensive physical property databases are being developed based on high-throughput computational experiments, such…
stat.ML2022★ 1 cited
Transfer learning with affine model transformation
Shunya Minami, Kenji Fukumizu, Yoshihiro Hayashi +1
Supervised transfer learning has received considerable attention due to its potential to boost the predictive power of machine learning in scenarios where data are scarce. Generall…
stat.ML2020★ 2 cited
A General Class of Transfer Learning Regression without Implementation Cost
Shunya Minami, Song Liu, Stephen Wu +2
We propose a novel framework that unifies and extends existing methods of transfer learning (TL) for regression. To bridge a pretrained source model to the model on a target task,…