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BayesGrad: Explaining Predictions of Graph Convolutional Networks.

H. Akita, K. Nakago, T. Komatsu, Y. Sugawara, S. ichi Maeda, Y. Baba, and H. Kashima. ICONIP (5), volume 11305 of Lecture Notes in Computer Science, page 81-92. Springer, (2018)

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Yohei Harayama

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An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation.Y. Tokuoka, S. Suzuki, and Y. Sugawara. ICBBE, page 44-48. ACM, (2019)An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation.Y. Tokuoka, S. Suzuki, and Y. Sugawara. CoRR, (2020)Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics.K. Oono, N. Charoenphakdee, K. Bito, Z. Gao, Y. Ota, S. Yamaguchi, Y. Sugawara, S. ichi Maeda, K. Miyoshi, Y. Saito and 3 other author(s). CoRR, (2023)BayesGrad: Explaining Predictions of Graph Convolutional Networks.H. Akita, K. Nakago, T. Komatsu, Y. Sugawara, S. ichi Maeda, Y. Baba, and H. Kashima. ICONIP (5), volume 11305 of Lecture Notes in Computer Science, page 81-92. Springer, (2018)Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks.K. Hayashi, T. Yamaguchi, Y. Sugawara, and S. ichi Maeda. NeurIPS, page 5553-5563. (2019)Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks.K. Hayashi, T. Yamaguchi, Y. Sugawara, and S. ichi Maeda. CoRR, (2019)GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention.A. Sinha, Y. Sugawara, and Y. Hirano. CoRR, (2019)COPICAT: a software system for predicting interactions between proteins and chemical compounds.Y. Sakakibara, T. Hachiya, M. Uchida, N. Nagamine, Y. Sugawara, M. Yokota, M. Nakamura, K. Popendorf, T. Komori, and K. Sato. Bioinform., 28 (5): 745-746 (2012)Label-Efficient Multi-task Segmentation Using Contrastive Learning.J. Iwasawa, Y. Hirano, and Y. Sugawara. BrainLes@MICCAI (1), volume 12658 of Lecture Notes in Computer Science, page 101-110. Springer, (2020)Consideration of microbump layout for reduction of local bending stress due to CTE Mismatch in 3D IC.H. Kino, H. Hashiguchi, S. Tanikawa, Y. Sugawara, S. Ikegaya, T. Fukushima, M. Koyanagi, and T. Tanaka. 3DIC, page TS8.26.1-TS8.26.4. IEEE, (2015)

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Disambiguation of "Sugawara, Yohei"

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BayesGrad: Explaining Predictions of Graph Convolutional Networks.

Please choose a person to relate this publication to

Yohei Harayama

Other publications of authors with the same name

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BibSonomy

Disambiguation of "Sugawara, Yohei"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML BayesGrad: Explaining Predictions of Graph Convolutional Networks.

Please choose a person to relate this publication to

Yohei Harayama

Other publications of authors with the same name

Disambiguation

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URL
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BayesGrad: Explaining Predictions of Graph Convolutional Networks.