Kohta Ishikawa

17 papers A* 3A 1Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Takeuchi's Information Criteria as Generalization Measures for DNNs Close to NTK Regime. CoRR Hiroki Naganuma, Taiji Suzuki, Rio Yokota, Masahiro Nomura, Kohta Ishikawa, Ikuro Sato
2023	J	`jnl`	Empirical Study on Optimizer Selection for Out-of-Distribution Generalization. Trans. Mach. Learn. Res. Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas
2023	—	`conf`	Pixel-level Contrastive Learning of Driving Videos with Optical Flow. CVPR Workshops Tomoya Takahashi, Shingo Yashima, Kohta Ishikawa, Ikuro Sato, Rio Yokota
2022	J	`jnl`	Empirical Study on Optimizer Selection for Out-of-Distribution Generalization. CoRR Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas
2022	A*	`conf`	Feature Space Particle Inference for Neural Network Ensembles. ICML Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami
2022	J	`jnl`	Feature Space Particle Inference for Neural Network Ensembles. CoRR Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami
2022	—	`conf`	Informative Sample-Aware Proxy for Deep Metric Learning. MMAsia Aoyu Li, Ikuro Sato, Kohta Ishikawa, Rei Kawakami, Rio Yokota
2022	J	`jnl`	Informative Sample-Aware Proxy for Deep Metric Learning. CoRR Aoyu Li, Ikuro Sato, Kohta Ishikawa, Rei Kawakami, Rio Yokota
2022	A	`conf`	Multi-task Curriculum Learning based on Gradient Similarity. BMVC Hiroaki Igarashi, Kenichi Yoneji, Kohta Ishikawa, Rei Kawakami, Teppei Suzuki, Shingo Yashima, Ikuro Sato
2021	—	`conf`	Does End-to-End Trained Deep Model Always Perform Better than Non-End-to-End Counterpart? Image Processing: Algorithms and Systems Ikuro Sato, Guoqing Liu, Kohta Ishikawa, Teppei Suzuki, Masayuki Tanaka
2020	J	`jnl`	CorsNet: 3D Point Cloud Registration by Deep Neural Network. IEEE Robotics Autom. Lett. Akiyoshi Kurobe, Yusuke Sekikawa, Kohta Ishikawa, Hideo Saito
2019	A*	`conf`	Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. ICML Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka
2019	J	`jnl`	Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. CoRR Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka
2018	—	`conf`	Constant Velocity 3D Convolution. 3DV Yusuke Sekikawa, Kohta Ishikawa, Kosuke Hara, Yuichi Yoshida, Koichiro Suzuki, Ikuro Sato, Hideo Saito
2018	J	`jnl`	Constant Velocity 3D Convolution. IEEE Access Yusuke Sekikawa, Kohta Ishikawa, Hideo Saito
2015	A*	`conf`	Multiple-Hypothesis Affine Region Estimation with Anisotropic LoG Filters. ICCV Takahiro Hasegawa, Mitsuru Ambai, Kohta Ishikawa, Gou Koutaki, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi
2015	J	`jnl`	Pairwise Rotation Hashing for High-dimensional Features. CoRR Kohta Ishikawa, Ikuro Sato, Mitsuru Ambai