Yamaguchi, Shin’Ya

4 publications

ACML 2024 Analyzing Diffusion Models on Synthesizing Training Datasets Shin’ya Yamaguchi

ACML 2024 Toward Data Efficient Model Merging Between Different Datasets Without Performance Degradation Masanori Yamada, Tomoya Yamashita, Shin’ya Yamaguchi, Daiki Chijiwa

ACML 2023 Generative Semi-Supervised Learning with Meta-Optimized Synthetic Samples Shin’ya Yamaguchi

ICML 2023 One-vs-the-REST Loss to Focus on Important Samples in Adversarial Training Sekitoshi Kanai, Shin’Ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Kentaro Ohno, Yasutoshi Ida