フォロー
Seiya Tokui
Seiya Tokui
Preferred Networks, Inc., University of Tokyo (Ph.D student)
確認したメール アドレス: preferred.jp - ホームページ
タイトル
引用先
引用先
Chainer: a next-generation open source framework for deep learning
S Tokui, K Oono, S Hido, J Clayton
Proceedings of workshop on machine learning systems (LearningSys) in the …, 2015
10292015
Learning discrete representations via information maximizing self-augmented training
W Hu, T Miyato, S Tokui, E Matsumoto, M Sugiyama
International conference on machine learning, 1558-1567, 2017
3092017
Adversarial attacks and defences competition
A Kurakin, I Goodfellow, S Bengio, Y Dong, F Liao, M Liang, T Pang, ...
The NIPS'17 Competition: Building Intelligent Systems, 195-231, 2018
2252018
Chainer: A deep learning framework for accelerating the research cycle
S Tokui, R Okuta, T Akiba, Y Niitani, T Ogawa, S Saito, S Suzuki, ...
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
1132019
Machine learning heterogeneous edge device, method, and system
D Okanohara, JB Clayton, T Nishikawa, S Hido, N Kubota, N Ota, S Tokui
US Patent 9,990,587, 2018
422018
Jubatus: An open source platform for distributed online machine learning
S Hido, S Tokui, S Oda
NIPS 2013 Workshop on Big Learning, Lake Tahoe, 2013
412013
Machine learning with model filtering and model mixing for edge devices in a heterogeneous environment
D Okanohara, JB Clayton, T Nishikawa, S Hido, N Kubota, N Ota, S Tokui
US Patent 10,387,794, 2019
332019
Evaluating the variance of likelihood-ratio gradient estimators
S Tokui, I Sato
International Conference on Machine Learning, 3414-3423, 2017
162017
Reparameterization trick for discrete variables
S Tokui
arXiv preprint arXiv:1611.01239, 2016
62016
Information processing device and information processing method
S Tokui, Y Unno, O Kenta, R Okuta
US Patent App. 15/771,979, 2018
52018
Machine learning heterogeneous edge device, method, and system
D Okanohara, J Clayton, T Nishikawa, S Hido, N Kubota, N Ota, S Tokui
US Patent App. 15/970,294, 2018
32018
Disentanglement Analysis with Partial Information Decomposition
S Tokui, I Sato
arXiv preprint arXiv:2108.13753, 2021
12021
Unsupervised Discrete Representation Learning
W Hu, T Miyato, S Tokui, E Matsumoto, M Sugiyama
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 97-119, 2019
12019
Locally optimized hashing for nearest neighbor search
S Tokui, I Sato, H Nakagawa
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 498-509, 2015
12015
Training apparatus, training method, non-transitory computer readable medium, and model generating method
S Tokui, D Nishino, HV Yamazaki, SEO Naotoshi, A Imanishi
US Patent App. 16/693,754, 2020
2020
Information processing device and information processing method
S Tokui, Y Unno, O Kenta, R Okuta
US Patent App. 16/551,435, 2019
2019
Machine learning with model filtering and model mixing for edge devices in a heterogeneous environment
D Okanohara, JB Clayton, T Nishikawa, S Hido, N Kubota, N Ota, S Tokui
US Patent App. 16/457,792, 2019
2019
Machine learning heterogeneous edge device, method, and system
JB CLAYTON, D OKANOHARA, T Nishikawa, S Hido, N KUBOTA, N Ota, ...
2016
Machine learning with model filtering and model mixing for edge devices in a heterogeneous environment
JB Clayton, D OKANOHARA, T Nishikawa, S Hido, N KUBOTA, N Ota, ...
2016
Supplementary Material: Evaluating the Variance of Likelihood-Ratio Gradient Estimators
S Tokui, I Sato
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