Ishikawa, Kohta

6 publications

TMLR 2023 Empirical Study on Optimizer Selection for Out-of-Distribution Generalization Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas

CVPRW 2023 Pixel-Level Contrastive Learning of Driving Videos with Optical Flow Tomoya Takahashi, Shingo Yashima, Kohta Ishikawa, Ikuro Sato, Rio Yokota

NeurIPSW 2022 Empirical Study on Optimizer Selection for Out-of-Distribution Generalization Hiroki Naganuma, Kartik Ahuja, Ioannis Mitliagkas, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato

ICML 2022 Feature Space Particle Inference for Neural Network Ensembles Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami

ICML 2019 Breaking Inter-Layer Co-Adaptation by Classifier Anonymization Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka

ICCV 2015 Multiple-Hypothesis Affine Region Estimation with Anisotropic LoG Filters Takahiro Hasegawa, Mitsuru Ambai, Kohta Ishikawa, Gou Koutaki, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi