| 2025 | CVPR | Post-pre-training for Modality Alignment in Vision-Language Foundation Models. | Shin'ya Yamaguchi, Dewei Feng, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa |
| 2025 | ICLR | Test-time Adaptation for Regression by Subspace Alignment. | Kazuki Adachi, Shin'ya Yamaguchi, Atsutoshi Kumagai, Tomoki Hamagami |
| 2025 | ICML | Positive-unlabeled AUC Maximization under Covariate Shift. | Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Kazuki Adachi, Yasuhiro Fujiwara |
| 2025 | IJCNN | Evaluation of Time-Series Training Dataset through Lens of Spectrum of Deep State Space Models. | Sekitoshi Kanai, Yasutoshi Ida, Kazuki Adachi, Mihiro Uchida, Tsukasa Yoshida, Shin'ya Yamaguchi |
| 2024 | CVPR | Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks. | Shin'ya Yamaguchi, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa |
| 2024 | IJCNN | Test-time Similarity Modification for Person Re-identification toward Temporal Distribution Shift. | Kazuki Adachi, Shohei Enomoto, Taku Sasaki, Shin'ya Yamaguchi |
| 2024 | IJCNN | Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching. | Shohei Enomoto, Naoya Hasegawa, Kazuki Adachi, Taku Sasaki, Shin'ya Yamaguchi, Satoshi Suzuki, Takeharu Eda |
| 2023 | AAAI | Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers. | Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi, Atsutoshi Kumagai, Yasuhiro Fujiwara |
| 2023 | ICIP | Covariance-Aware Feature Alignment with Pre-Computed Source Statistics for Test-Time Adaptation to Multiple Image Corruptions. | Kazuki Adachi, Shin'ya Yamaguchi, Atsutoshi Kumagai |
| 2004 | LREC | Perceptual Evaluation of Quality Deterioration Owing to Prosody Modification. | Kazuki Adachi, Tomoki Toda, Hiromichi Kawanami, Hiroshi Saruwatari, Kiyohiro Shikano |