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Yoshihide Sawada
Yoshihide Sawada
Other names澤田好秀
Unknown affiliation
Verified email at weblab.t.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
Data-driven approach to encoding and decoding 3-d crystal structures
J Hoffmann, L Maestrati, Y Sawada, J Tang, JM Sellier, Y Bengio
arXiv preprint arXiv:1909.00949, 2019
832019
Information processing system, information processing method, and program
H Motomura, MS Kourkouss, Y Sawada, T Mori, M Tsuji
US Patent 10,759,446, 2020
672020
Concept bottleneck model with additional unsupervised concepts
Y Sawada, K Nakamura
IEEE Access 10, 41758-41765, 2022
612022
Robust nonrigid ICP using outlier-sparsity regularization
H Hontani, T Matsuno, Y Sawada
2012 IEEE Conference on Computer Vision and Pattern Recognition, 174-181, 2012
502012
Driving assistance method, driving assistance device which utilizes same, autonomous driving control device, vehicle, driving assistance system, and program
K Emura, H Motomura, S Kourkouss, Y Sawada, M Tsuji, T Mori
US Patent App. 16/084,585, 2019
412019
Transfer learning method using multi-prediction deep Boltzmann machines for a small scale dataset
Y Sawada, K Kozuka
2015 14th IAPR International Conference on Machine Vision Applications (MVA …, 2015
412015
Image generation apparatus, image generation method, storage medium, and processing method
Y Kato, T Sato, Y Sawada
US Patent 10,191,265, 2019
352019
Conditional Generative Adversarial Networks for Inorganic Chemical Compositions
Y Sawada, K Morikawa, M Fujii
Chemistry Letters 50 (4), 623-626, 2021
25*2021
S3NN: Time step reduction of spiking surrogate gradients for training energy efficient single-step spiking neural networks
K Suetake, S Ikegawa, R Saiin, Y Sawada
Neural Networks 159, 208-219, 2023
192023
Transfer learning apparatus, transfer learning system, transfer learning method, and recording medium
Y Sawada, K Kozuka
US Patent 10,832,128, 2020
172020
All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification
Y Sawada, Y Sato, T Nakada, K Ujimoto, N Hayashi
22nd European Conference on Artificial Intelligence (ECAI2016), 1586-1587, 2016
172016
Improvement in classification performance based on target vector modification for all-transfer deep learning
Y Sawada, Y Sato, T Nakada, S Yamaguchi, K Ujimoto, N Hayashi
Applied Sciences 9 (1), 128, 2019
152019
A study on graphical model structure for representing statistical shape model of point distribution model
Y Sawada, H Hontani
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012
142012
Learning apparatus, identifying apparatus, learning and identifying system, and recording medium
Y Sawada, T Nakada, Y Sato
US Patent 11,023,806, 2021
132021
Whole layers transfer learning of deep neural networks for a small scale dataset
Y Sawada, K Kozuka
International Journal of Machine Learning and Computing 6 (1), 27, 2016
132016
Disentangling Controllable and Uncontrollable Factors by Interacting with the World
Y Sawada, L Rigazio, K Morikawa, M Iwasaki, Y Bengio
Deep RL Workshop NeurIPS 2018, 2018
12*2018
Rethinking the role of normalization and residual blocks for spiking neural networks
S Ikegawa, R Saiin, Y Sawada, N Natori
Sensors 22 (8), 2876, 2022
112022
Improving RNN performance by modelling informative missingness with combined indicators
FJ Rodenburg, Y Sawada, N Hayashi
Applied Sciences 9 (8), 1623, 2019
102019
Image generating apparatus and image generating method
Y Kato, Y Sawada, Y Mukaigawa, T Funatomi, H Kubo
US Patent 10,607,316, 2020
92020
E2pose: Fully convolutional networks for end-to-end multi-person pose estimation
M Tobeta, Y Sawada, Z Zheng, S Takamuku, N Natori
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
82022
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