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Ryuichiro Hataya
Ryuichiro Hataya
Andre navne幡谷龍一郎
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Titel
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År
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation
R Hataya, J Zdenek, K Yoshizoe, H Nakayama
ECCV 2020, 2020
2572020
Meta Approach to Data Augmentation Optimization
R Hataya, J Zdenek, K Yoshizoe, H Nakayama
WACV 2022, 2022
632022
Will Large-scale Generative Models Corrupt Future Datasets?
R Hataya, H Bao, H Arai
ICCV 2023, 2023
482023
Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging
K Kobayashi, R Hataya, Y Kurose, M Miyake, M Takahashi, A Nakagawa, ...
Medical image analysis 74, 102227, 2021
402021
Unifying semi-supervised and robust learning by mixup
R Hataya, H Nakayama
ICLR The 2nd Learning from Limited Labeled Data (LLD) Workshop, 2019
202019
Sketch-based semantic retrieval of medical images
K Kobayashi, L Gu, R Hataya, T Mizuno, M Miyake, H Watanabe, ...
Medical Image Analysis 92, 103060, 2024
16*2024
Nyström Method for Accurate and Scalable Implicit Differentiation
R Hataya, M Yamada
AISTATS 2023, 2023
92023
Graph Energy-based Model for Substructure Preserving Molecular Design
R Hataya, H Nakayama, K Yoshizoe
arXiv preprint arXiv:2102.04600, 2021
92021
Investigating CNNs' Learning Representation under label noise
R Hataya, H Nakayama
82018
Self-attention Networks Localize When QK-eigenspectrum Concentrates
H Bao, R Hataya, R Karakida
arXiv preprint arXiv:2402.02098, 2024
72024
MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era
L Placidi, R Hataya, T Mori, K Aoyama, H Morisaki, K Mitarai, K Fujii
arXiv preprint arXiv:2306.16627, 2023
72023
Noncommutative -algebra Net: Learning Neural Networks with Powerful Product Structure in -algebra
R Hataya, Y Hashimoto
arXiv preprint arXiv:2302.01191, 2023
52023
DJMix: Unsupervised Task-agnostic Image Augmentation for Improving Robustness of Convolutional Neural Networks
R Hataya, H Nakayama
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
52022
Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval
K Kobayashi, R Hataya, Y Kurose, M Miyake, M Takahashi, A Nakagawa, ...
arXiv preprint arXiv:2103.12328, 2021
52021
Graph Energy-based Model for Molecular Graph Generation
R Hataya, H Nakayama, K Yoshizoe
Energy Based Models Workshop-ICLR 2021, 2021
52021
Unsupervised Brain Abnormality Detection Using High Fidelity Image Reconstruction Networks
K Kobayashi, R Hataya, Y Kurose, A Bolatkan, M Miyake, H Watanabe, ...
arXiv preprint arXiv:2005.12573, 2020
52020
An Empirical Investigation of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
H Naganuma, R Hataya
ICCV 2nd Workshop on Uncertainty Quantification, 2023
32023
Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval
K Kobayashi, R Hataya, Y Kurose, T Harada, R Hamamoto
arXiv preprint arXiv:2011.06224, 2020
32020
Glocal Hypergradient Estimation with Koopman Operator
R Hataya, Y Kawahara
arXiv preprint arXiv:2402.02741, 2024
22024
Visualizing Association in Exemplar-Based Classification
T Kashima, R Hataya, H Nakayama
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
22021
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Artikler 1–20