| Anomaly detection using GANs for visual inspection in noisy training data M Kimura, T Yanagihara Computer Vision–ACCV 2018 Workshops: 14th Asian Conference on Computer …, 2019 | 32 | 2019 |
| Understanding test-time augmentation M Kimura International Conference on Neural Information Processing, 558-569, 2021 | 20 | 2021 |
| SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts M Kimura, T Nakamura, Y Saito Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12* | 2023 |
| Why Mixup Improves the Model Performance M Kimura 30th International Conference on Artificial Neural Networks (ICANN), 2021 | 11* | 2021 |
| Generalized t-SNE through the lens of information geometry M Kimura IEEE Access 9, 129619-129625, 2021 | 8 | 2021 |
| New perspective of interpretability of deep neural networks M Kimura, M Tanaka 2020 3rd international conference on information and computer technologies …, 2020 | 7 | 2020 |
| α-Geodesical Skew Divergence M Kimura, H Hino Entropy 23 (5), 528, 2021 | 6 | 2021 |
| Fashion-specific attributes interpretation via dual gaussian visual-semantic embedding R Shimizu, M Kimura, M Goto arXiv preprint arXiv:2210.17417, 2022 | 5 | 2022 |
| Information geometrically generalized covariate shift adaptation M Kimura, H Hino Neural Computation 34 (9), 1944-1977, 2022 | 5 | 2022 |
| Batch prioritization of data labeling tasks for training classifiers M Kimura, K Wakabayashi, A Morishima Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 8 …, 2020 | 4 | 2020 |
| Generalization Bounds for Set-to-Set Matching with Negative Sampling M Kimura The 29th International Conference on Neural Information Processing (ICONIP 2022), 2022 | 3 | 2022 |
| Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks M Kimura, M Tanaka Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 3 | 2019 |
| Density Fixing: Simple yet Effective Regularization Method based on the Class Prior M Kimura, R Izawa 2021 International Joint Conference on Neural Networks, 2020 | 2 | 2020 |
| Large-Scale Landslides Detection from Satellite Images with Incomplete Labels M Kimura NeurIPS Workshop on AI for Social Good, 2019 | 2 | 2019 |
| Pnunet: Anomaly detection using positive-and-negative noise based on self-training procedure M Kimura arXiv preprint arXiv:1905.10939, 2019 | 2 | 2019 |
| On the decomposition of covariate shift assumption for the set-to-set matching M Kimura IEEE Access, 2023 | 1 | 2023 |
| Necessary and Sufficient Hypothesis of Curvature: Understanding Connection Between Out-of-Distribution Generalization and Calibration H Naganuma, M Kimura ICLR workshop on Domain Generalization, 2023 | 1 | 2023 |
| Information Geometry of Dropout Training M Kimura, H Hino arXiv preprint arXiv:2206.10936, 2022 | 1 | 2022 |
| Intentional attention mask transformation for robust CNN classification M Kimura, M Tanaka arXiv preprint arXiv:1905.02719, 2019 | 1 | 2019 |
| Node centralities and classification performance for characterizing node embedding algorithms K Nozawa, M Kimura, A Kanemura arXiv preprint arXiv:1802.06368, 2018 | 1 | 2018 |
Masayuki TANAKATokyo Institute of TechnologyVerified email at sc.e.titech.ac.jp
