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Shunya Minami

2 accepted papers

2023

Transfer Learning with Affine Model Transformation

NeurIPS 2023poster

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. Generally, a given set of source models and a dataset from a target domain are used to adapt the pre-trained models to a target…

2021

A General Class of Transfer Learning Regression without Implementation Cost

AAAI 2021technical

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, we introduce a density-ratio reweighting function, which is estimated through the Bayesian framework with a specific pri…

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