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

Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks. - Daiki Chijiwa; Shin'ya Yamaguchi; Atsutoshi Kumagai; Yasutoshi Ida (NeurIPS, 2022)

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

Revisiting Permutation Symmetry for Merging Models between Different Datasets. - Masanori Yamada; Tomoya Yamashita; Shin'ya Yamaguchi; Daiki Chijiwa (CoRR, 2023)

Toward Data Efficient Model Merging between Different Datasets without Performance Degradation. - Masanori Yamada; Tomoya Yamashita; Shin'ya Yamaguchi; Daiki Chijiwa (ACML, 2024)

Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks. - Shin'ya Yamaguchi; Sekitoshi Kanai; Kazuki Adachi; Daiki Chijiwa (CVPR, 2024)

Transferring Learning Trajectories of Neural Networks. - Daiki Chijiwa (ICLR, 2024)

Partial Search in a Frozen Network is Enough to Find a Strong Lottery Ticket. - Hikari Otsuka; Daiki Chijiwa; Ángel López García-Arias; Yasuyuki Okoshi; Kazushi Kawamura; Thiem Van Chu; Daichi Fujiki; Susumu Takeuchi; Masato Motomura (CoRR, 2024)

Post-pre-training for Modality Alignment in Vision-Language Foundation Models. - Shin'ya Yamaguchi; Dewei Feng; Sekitoshi Kanai; Kazuki Adachi; Daiki Chijiwa (CVPR, 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 (Trans. Mach. Learn. Res., 2025)

Zero-shot Concept Bottleneck Models. - Shin'ya Yamaguchi; Kosuke Nishida; Daiki Chijiwa; Yasutoshi Ida (CoRR, 2025)

Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models. - Daiki Chijiwa; Taku Hasegawa; Kyosuke Nishida; Kuniko Saito; Susumu Takeuchi (CoRR, 2025)

Transfer learning with pre-trained conditional generative models. - Shin'ya Yamaguchi; Sekitoshi Kanai; Atsutoshi Kumagai; Daiki Chijiwa; Hisashi Kashima (Mach. Learn., 2025)

Rationale-Enhanced Decoding for Multi-modal Chain-of-Thought. - Shin'ya Yamaguchi; Kosuke Nishida; Daiki Chijiwa (CoRR, 2025)