Daiki Chijiwa - RankMe

28 papers A* 9C 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Parallel In-context Learning for Large Vision Language Models. CoRR Shin'ya Yamaguchi, Daiki Chijiwa, Tamao Sakao, Taku Hasegawa
2026	A*	`conf`	The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms. AAAI Hikari Otsuka, Daiki Chijiwa, Yasuyuki Okoshi, Daichi Fujiki, Susumu Takeuchi, Masato Motomura
2025	J	`jnl`	Do We Really Need Permutations? Impact of Width Expansion on Linear Mode Connectivity. CoRR Akira Ito, Masanori Yamada, Daiki Chijiwa, Atsutoshi Kumagai
2025	J	`jnl`	Lossless Vocabulary Reduction for Auto-Regressive Language Models. CoRR Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Shin'ya Yamaguchi, Tomoya Ohba, Tamao Sakao, Susumu Takeuchi
2025	J	`jnl`	Partially Frozen Random Networks Contain Compact Strong Lottery Tickets. Trans. Mach. Learn. Res. Hikari Otsuka, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura
2025	A*	`conf`	Plausible Token Amplification for Improving Accuracy of Differentially Private In-Context Learning Based on Implicit Bayesian Inference. ICML Yusuke Yamasaki, Kenta Niwa, Daiki Chijiwa, Takumi Fukami, Takayuki Miura
2025	A*	`conf`	Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models. ICML Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Susumu Takeuchi
2025	J	`jnl`	Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models. CoRR Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Susumu Takeuchi
2025	A*	`conf`	Post-pre-training for Modality Alignment in Vision-Language Foundation Models. CVPR Shin'ya Yamaguchi, Dewei Feng, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa
2025	J	`jnl`	Post-pre-training for Modality Alignment in Vision-Language Foundation Models. CoRR Shin'ya Yamaguchi, Dewei Feng, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa
2025	J	`jnl`	Rationale-Enhanced Decoding for Multi-modal Chain-of-Thought. CoRR Shin'ya Yamaguchi, Kosuke Nishida, Daiki Chijiwa
2025	J	`jnl`	The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms. CoRR Hikari Otsuka, Daiki Chijiwa, Yasuyuki Okoshi, Daichi Fujiki, Susumu Takeuchi, Masato Motomura
2025	J	`jnl`	Transfer learning with pre-trained conditional generative models. Mach. Learn. Shin'ya Yamaguchi, Sekitoshi Kanai, Atsutoshi Kumagai, Daiki Chijiwa, Hisashi Kashima
2025	J	`jnl`	Zero-shot Concept Bottleneck Models. CoRR Shin'ya Yamaguchi, Kosuke Nishida, Daiki Chijiwa, Yasutoshi Ida
2024	A*	`conf`	Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks. CVPR Shin'ya Yamaguchi, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa
2024	J	`jnl`	Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks. CoRR Shin'ya Yamaguchi, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa
2024	J	`jnl`	Partial Search in a Frozen Network is Enough to Find a Strong Lottery Ticket. CoRR Hikari Otsuka, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura
2024	C	`conf`	Toward Data Efficient Model Merging between Different Datasets without Performance Degradation. ACML Masanori Yamada, Tomoya Yamashita, Shin'ya Yamaguchi, Daiki Chijiwa
2024	A*	`conf`	Transferring Learning Trajectories of Neural Networks. ICLR Daiki Chijiwa
2023	A*	`conf`	Regularizing Neural Networks with Meta-Learning Generative Models. NeurIPS Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima
2023	J	`jnl`	Regularizing Neural Networks with Meta-Learning Generative Models. CoRR Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima
2023	J	`jnl`	Revisiting Permutation Symmetry for Merging Models between Different Datasets. CoRR Masanori Yamada, Tomoya Yamashita, Shin'ya Yamaguchi, Daiki Chijiwa
2023	J	`jnl`	Transferring Learning Trajectories of Neural Networks. CoRR Daiki Chijiwa
2022	A*	`conf`	Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks. NeurIPS Daiki Chijiwa, Shin'ya Yamaguchi, Atsutoshi Kumagai, Yasutoshi Ida
2022	J	`jnl`	Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks. CoRR Daiki Chijiwa, Shin'ya Yamaguchi, Atsutoshi Kumagai, Yasutoshi Ida
2022	J	`jnl`	Transfer Learning with Pre-trained Conditional Generative Models. CoRR Shin'ya Yamaguchi, Sekitoshi Kanai, Atsutoshi Kumagai, Daiki Chijiwa, Hisashi Kashima
2021	A*	`conf`	Pruning Randomly Initialized Neural Networks with Iterative Randomization. NeurIPS Daiki Chijiwa, Shin'ya Yamaguchi, Yasutoshi Ida, Kenji Umakoshi, Tomohiro Inoue
2021	J	`jnl`	Pruning Randomly Initialized Neural Networks with Iterative Randomization. CoRR Daiki Chijiwa, Shin'ya Yamaguchi, Yasutoshi Ida, Kenji Umakoshi, Tomohiro Inoue