Chijiwa, Daiki

14 publications

TMLR 2025 Partially Frozen Random Networks Contain Compact Strong Lottery Tickets Hikari Otsuka, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura

ICML 2025 Plausible Token Amplification for Improving Accuracy of Differentially Private In-Context Learning Based on Implicit Bayesian Inference Yusuke Yamasaki, Kenta Niwa, Daiki Chijiwa, Takumi Fukami, Takayuki Miura

ICML 2025 Portable Reward Tuning: Towards Reusable Fine-Tuning Across Different Pretrained Models Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Susumu Takeuchi

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

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

ICMLW 2024 Base-Change at Prediction: Inference-Time Update of Fine-Tuned Models Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Susumu Takeuchi

NeurIPSW 2024 Partially Frozen Random Networks Contain Compact Strong Lottery Tickets Hikari Otsuka, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura

NeurIPSW 2024 The Trichromatic Strong Lottery Ticket Hypothesis: Neural Compression with Three Primary Supermasks Ángel López García-Arias, Yasuyuki Okoshi, Hikari Otsuka, Daiki Chijiwa, Yasuhiro Fujiwara, Susumu Takeuchi, Masato Motomura

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

ICLR 2024 Transferring Learning Trajectories of Neural Networks Daiki Chijiwa

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

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