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ORCIDIkuro Sato
- > Home > Persons > Ikuro Sato
Publications
- 2023
[j6]Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas:
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization. Trans. Mach. Learn. Res. 2023 (2023)- [c25]Tomoya Takahashi, Shingo Yashima, Kohta Ishikawa, Ikuro Sato, Rio Yokota:
Pixel-level Contrastive Learning of Driving Videos with Optical Flow. CVPR Workshops 2023: 3180-3187 - 2022
- [c23]Hiroaki Igarashi, Kenichi Yoneji, Kohta Ishikawa, Rei Kawakami, Teppei Suzuki, Shingo Yashima, Ikuro Sato:
Multi-task Curriculum Learning based on Gradient Similarity. BMVC 2022: 705 - [c20]Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami:
Feature Space Particle Inference for Neural Network Ensembles. ICML 2022: 25452-25468 - [c19]Aoyu Li, Ikuro Sato, Kohta Ishikawa, Rei Kawakami, Rio Yokota:
Informative Sample-Aware Proxy for Deep Metric Learning. MMAsia 2022: 4:1-4:11 - [i12]Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami:
Feature Space Particle Inference for Neural Network Ensembles. CoRR abs/2206.00944 (2022) - [i10]Hiroki Naganuma
, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas:
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization. CoRR abs/2211.08583 (2022) - [i9]Aoyu Li, Ikuro Sato, Kohta Ishikawa, Rei Kawakami, Rio Yokota:
Informative Sample-Aware Proxy for Deep Metric Learning. CoRR abs/2211.10382 (2022) - 2021
- [c17]Ikuro Sato, Guoqing Liu, Kohta Ishikawa, Teppei Suzuki, Masayuki Tanaka:
Does End-to-End Trained Deep Model Always Perform Better than Non-End-to-End Counterpart? Image Processing: Algorithms and Systems 2021 - 2019
- [c14]Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka:
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. ICML 2019: 5619-5627 - [i7]Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka:
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. CoRR abs/1906.01150 (2019) - 2018
- [c12]Yusuke Sekikawa, Kohta Ishikawa, Kosuke Hara, Yuichi Yoshida, Koichiro Suzuki, Ikuro Sato, Hideo Saito:
Constant Velocity 3D Convolution. 3DV 2018: 343-351 - 2015
- [i2]Kohta Ishikawa, Ikuro Sato, Mitsuru Ambai:
Pairwise Rotation Hashing for High-dimensional Features. CoRR abs/1501.07422 (2015)
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