Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data. - Masanari Kimura; Takashi Yanagihara (ACCV Workshops, 2018)

Analyzing Centralities of Embedded Nodes. - Kento Nozawa; Masanari Kimura; Atsunori Kanemura (ICDM Workshops, 2018)

Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms. - Kento Nozawa; Masanari Kimura; Atsunori Kanemura (CoRR, 2018)

Semi-supervised Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data. - Masanari Kimura; Takashi Yanagihara (CoRR, 2018)

Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks. - Masanari Kimura; Masayuki Tanaka 001 (CVPR Workshops, 2019)

Intentional Attention Mask Transformation for Robust CNN Classification. - Masanari Kimura; Masayuki Tanaka 001 (CoRR, 2019)

PNUNet: Anomaly Detection using Positive-and-Negative Noise based on Self-Training Procedure. - Masanari Kimura (CoRR, 2019)

Large-Scale Landslides Detection from Satellite Images with Incomplete Labels. - Masanari Kimura (CoRR, 2019)

Batch Prioritization of Data Labeling Tasks for Training Classifiers. - Masanari Kimura; Kei Wakabayashi; Atsuyuki Morishima (HCOMP, 2020)

New Perspective of Interpretability of Deep Neural Networks. - Masanari Kimura; Masayuki Tanaka 001 (ICICT, 2020)

Mixup Training as the Complexity Reduction. - Masanari Kimura (CoRR, 2020)

Density Fixing: Simple yet Effective Regularization Method based on the Class Prior. - Masanari Kimura; Ryohei Izawa (CoRR, 2020)

Why Mixup Improves the Model Performance. - Masanari Kimura (ICANN (2), 2021)

Understanding Test-Time Augmentation. - Masanari Kimura (ICONIP (1), 2021)

Density-Fixing: Simple yet Effective Regularization Method based on the Class Priors. - Masanari Kimura; Ryohei Izawa (IJCNN, 2021)

Generalized t-SNE Through the Lens of Information Geometry. - Masanari Kimura (IEEE Access, 2021)

SHIFT15M: Multiobjective Large-Scale Fashion Dataset with Distributional Shifts. - Masanari Kimura; Takuma Nakamura; Yuki Saito (CoRR, 2021)

α-Geodesical Skew Divergence. - Masanari Kimura; Hideitsu Hino (Entropy, 2021)

Generalization Bounds for Set-to-Set Matching with Negative Sampling. - Masanari Kimura (ICONIP (4), 2022)

GRASP EARTH: Intuitive Software for Discovering Changes on the Planet. - Waku Hatakeyama; Shirou Kawakita; Ryohei Izawa; Masanari Kimura (CoRR, 2022)

Information Geometry of Dropout Training. - Masanari Kimura; Hideitsu Hino (CoRR, 2022)

Fashion-Specific Attributes Interpretation via Dual Gaussian Visual-Semantic Embedding. - Ryotaro Shimizu; Masanari Kimura; Masayuki Goto (CoRR, 2022)

Information Geometrically Generalized Covariate Shift Adaptation. - Masanari Kimura; Hideitsu Hino (Neural Comput., 2022)

SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts. - Masanari Kimura; Takuma Nakamura; Yuki Saito 002 (CVPR Workshops, 2023)

On the Decomposition of Covariate Shift Assumption for the Set-to-Set Matching. - Masanari Kimura (IEEE Access, 2023)

On permutation-invariant neural networks. - Masanari Kimura; Ryotaro Shimizu; Yuki Hirakawa; Ryosuke Goto; Yuki Saito 002 (CoRR, 2024)

Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property. - Yuya Yoshikawa; Masanari Kimura; Ryotaro Shimizu; Yuki Saito 002 (CoRR, 2024)

A Fashion Item Recommendation Model in Hyperbolic Space. - Ryotaro Shimizu; Yu Wang 170; Masanari Kimura; Yuki Hirakawa; Takashi Wada 001; Yuki Saito 002; Julian J. McAuley (CoRR, 2024)

Test-Time Augmentation Meets Variational Bayes. - Masanari Kimura; Howard D. Bondell (CoRR, 2024)

A Short Survey on Importance Weighting for Machine Learning. - Masanari Kimura; Hideitsu Hino (Trans. Mach. Learn. Res., 2024)

Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds. - Masanari Kimura; Howard D. Bondell (AISTATS, 2025)

Difference-of-submodular Bregman Divergence. - Masanari Kimura; Takahiro Kawashima; Tasuku Soma; Hideitsu Hino (ICLR, 2025)

Geometric insights into focal loss: Reducing curvature for enhanced model calibration. - Masanari Kimura; Hiroki Naganuma (Pattern Recognit. Lett., 2025)

Theoretical and Practical Analysis of Fréchet Regression via Comparison Geometry. - Masanari Kimura; Howard D. Bondell (CoRR, 2025)

Heteroscedastic Double Bayesian Elastic Net. - Masanari Kimura (CoRR, 2025)

Edgeworth Expansion for Semi-hard Triplet Loss. - Masanari Kimura (CoRR, 2025)

Generalized Power Priors for Improved Bayesian Inference with Historical Data. - Masanari Kimura; Howard D. Bondell (CoRR, 2025)

Graph-Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry. - Masanari Kimura (CoRR, 2025)

Higher-Order Asymptotics of Test-Time Adaptation for Batch Normalization Statistics. - Masanari Kimura (CoRR, 2025)