Daiki Chijiwa

According to our database, Daiki Chijiwa authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Rationale-Enhanced Decoding for Multi-modal Chain-of-Thought.

Shin'ya Yamaguchi, Kosuke Nishida, Daiki Chijiwa

CoRR, July, 2025

Transfer learning with pre-trained conditional generative models.

Shin'ya Yamaguchi, Sekitoshi Kanai, Atsutoshi Kumagai, Daiki Chijiwa, Hisashi Kashima

Mach. Learn., April, 2025

Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models.

Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Susumu Takeuchi

CoRR, February, 2025

Zero-shot Concept Bottleneck Models.

Shin'ya Yamaguchi, Kosuke Nishida, Daiki Chijiwa, Yasutoshi Ida

CoRR, February, 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

Post-pre-training for Modality Alignment in Vision-Language Foundation Models.

Shin'ya Yamaguchi, Dewei Feng, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

Transferring Learning Trajectories of Neural Networks.

Daiki Chijiwa

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks.

Shin'ya Yamaguchi, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Toward Data Efficient Model Merging between Different Datasets without Performance Degradation.

Masanori Yamada, Tomoya Yamashita, Shin'ya Yamaguchi, Daiki Chijiwa

Proceedings of the Asian Conference on Machine Learning, 2024

2023

Revisiting Permutation Symmetry for Merging Models between Different Datasets.

Masanori Yamada, Tomoya Yamashita, Shin'ya Yamaguchi, Daiki Chijiwa

CoRR, 2023

Regularizing Neural Networks with Meta-Learning Generative Models.

Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks.

Daiki Chijiwa, Shin'ya Yamaguchi, Atsutoshi Kumagai, Yasutoshi Ida

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Pruning Randomly Initialized Neural Networks with Iterative Randomization.

Daiki Chijiwa, Shin'ya Yamaguchi, Yasutoshi Ida, Kenji Umakoshi, Tomohiro Inoue

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021