Yamaguchi, Shin'ya

11 publications

CVPR 2025 Post-Pre-Training for Modality Alignment in Vision-Language Foundation Models Shin'ya Yamaguchi, Dewei Feng, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa

ICLR 2025 Test-Time Adaptation for Regression by Subspace Alignment Kazuki Adachi, Shin'ya Yamaguchi, Atsutoshi Kumagai, Tomoki Hamagami

MLJ 2025 Transfer Learning with Pre-Trained Conditional Generative Models Shin'ya Yamaguchi, Sekitoshi Kanai, Atsutoshi Kumagai, Daiki Chijiwa, Hisashi Kashima

CVPR 2024 Adaptive Random Feature Regularization on Fine-Tuning Deep Neural Networks Shin'ya Yamaguchi, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa

NeurIPSW 2024 Toward Explanation Bottleneck Models Shin'ya Yamaguchi, Kosuke Nishida

ICCV 2023 Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Sekitoshi Kanai, Naoki Makishima, Atsushi Ando, Ryo Masumura

NeurIPSW 2023 On the Limitation of Diffusion Models for Synthesizing Training Datasets Shin'ya Yamaguchi, Takuma Fukuda

NeurIPS 2023 Regularizing Neural Networks with Meta-Learning Generative Models Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima

NeurIPS 2022 Meta-Ticket: Finding Optimal Subnetworks for Few-Shot Learning Within Randomly Initialized Neural Networks Daiki Chijiwa, Shin'ya Yamaguchi, Atsutoshi Kumagai, Yasutoshi Ida

ICCV 2021 F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain Shin'ya Yamaguchi, Sekitoshi Kanai

NeurIPS 2021 Pruning Randomly Initialized Neural Networks with Iterative Randomization Daiki Chijiwa, Shin'ya Yamaguchi, Yasutoshi Ida, Kenji Umakoshi, Tomohiro Inoue