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Shuhei Nitta
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2020 – today
- 2023
- [c4]Shuhei Nitta, Taiji Suzuki, Albert Rodríguez Mulet, Atsushi Yaguchi, Ryusuke Hirai:
Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories. ICMLA 2023: 764-769 - [i3]Shuhei Nitta, Taiji Suzuki, Albert Rodríguez Mulet, Atsushi Yaguchi, Ryusuke Hirai:
Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories. CoRR abs/2311.08716 (2023) - 2021
- [c3]Yasutaka Furusho, Shuhei Nitta, Yukinobu Sakata:
Kernel ridge reconstruction for anomaly detection: general and low computational reconstruction. ICMLA 2021: 185-190 - [c2]Atsushi Yaguchi, Taiji Suzuki, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa:
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks. IJCAI 2021: 3249-3256
2010 – 2019
- 2019
- [i2]Atsushi Yaguchi, Taiji Suzuki, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa:
Scalable Deep Neural Networks via Low-Rank Matrix Factorization. CoRR abs/1910.13141 (2019) - 2018
- [c1]Atsushi Yaguchi, Taiji Suzuki, Wataru Asano, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa:
Adam Induces Implicit Weight Sparsity in Rectifier Neural Networks. ICMLA 2018: 318-325 - [i1]Atsushi Yaguchi, Taiji Suzuki, Wataru Asano, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa:
Adam Induces Implicit Weight Sparsity in Rectifier Neural Networks. CoRR abs/1812.08119 (2018) - 2013
- [j1]Takamasa Sugiura, Tomoyuki Takeguchi, Yukinobu Sakata, Shuhei Nitta, Tomoya Okazaki, Nobuyuki Matsumoto, Yasuko Fujisawa:
Automatic model-based contour detection of left ventricle myocardium from cardiac CT images. Int. J. Comput. Assist. Radiol. Surg. 8(1): 145-155 (2013)
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