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2020 – today
- 2021
[c3]Ken Namura, Johannes Maximilian Kühn, Tohru Adachi, H. Imachi, H. Kaneko, T. Kato, Go Watanabe, Naoto Tanaka, S. Kashihara, Hiroshi Miyashita, Y. Tomonaga, Ryosuke Okuta, Takuya Akiba, Brian Vogel, S. Kitajo, F. Osawa, K. Takahashi, Y. Takatsukasa, K. Mizumaru, T. Yamauchi, J. Ono, A. Takahashi, Tanvir Ahmed, Y. Doi, K. Hiraki, J. Makino:
MN-Core - A Highly Efficient and Scalable Approach to Deep Learning. VLSI Circuits 2021: 1-2- 2020
- [c2]Ruizhe Zhao, Brian Vogel, Tanvir Ahmed, Wayne Luk:
Reducing Underflow in Mixed Precision Training by Gradient Scaling. IJCAI 2020: 2922-2928
2010 – 2019
- 2019
- [c1]Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent:
Chainer: A Deep Learning Framework for Accelerating the Research Cycle. KDD 2019: 2002-2011 - [i2]Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent:
Chainer: A Deep Learning Framework for Accelerating the Research Cycle. CoRR abs/1908.00213 (2019) - [i1]Ruizhe Zhao, Brian Vogel, Tanvir Ahmed:
Adaptive Loss Scaling for Mixed Precision Training. CoRR abs/1910.12385 (2019)
Coauthor Index
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