Masanari Kimura

50 papers A* 2A 1B 2Journal 37Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Information Geometry of Absorbing Markov-Chain and Discriminative Random Walks. CoRR Masanari Kimura
2025	A	`conf`	Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds. AISTATS Masanari Kimura, Howard D. Bondell
2025	A*	`conf`	Difference-of-submodular Bregman Divergence. ICLR Masanari Kimura, Takahiro Kawashima, Tasuku Soma, Hideitsu Hino
2025	J	`jnl`	Edgeworth Expansion for Semi-hard Triplet Loss. CoRR Masanari Kimura
2025	A*	`conf`	Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property. IJCAI Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu, Yuki Saito
2025	J	`jnl`	Generalized Power Priors for Improved Bayesian Inference with Historical Data. CoRR Masanari Kimura, Howard D. Bondell
2025	J	`jnl`	Geometric insights into focal loss: Reducing curvature for enhanced model calibration. Pattern Recognit. Lett. Masanari Kimura, Hiroki Naganuma
2025	J	`jnl`	Graph-Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry. CoRR Masanari Kimura
2025	J	`jnl`	Heteroscedastic Double Bayesian Elastic Net. CoRR Masanari Kimura
2025	J	`jnl`	Higher-Order Asymptotics of Test-Time Adaptation for Batch Normalization Statistics. CoRR Masanari Kimura
2025	J	`jnl`	Theoretical and Practical Analysis of Fréchet Regression via Comparison Geometry. CoRR Masanari Kimura, Howard D. Bondell
2024	J	`jnl`	A Fashion Item Recommendation Model in Hyperbolic Space. CoRR Ryotaro Shimizu, Yu Wang, Masanari Kimura, Yuki Hirakawa, Takashi Wada, Yuki Saito, Julian J. McAuley
2024	J	`jnl`	A Short Survey on Importance Weighting for Machine Learning. CoRR Masanari Kimura, Hideitsu Hino
2024	J	`jnl`	A Short Survey on Importance Weighting for Machine Learning. Trans. Mach. Learn. Res. Masanari Kimura, Hideitsu Hino
2024	J	`jnl`	Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds. CoRR Masanari Kimura, Howard D. Bondell
2024	J	`jnl`	Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property. CoRR Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu, Yuki Saito
2024	J	`jnl`	Geometric Insights into Focal Loss: Reducing Curvature for Enhanced Model Calibration. CoRR Masanari Kimura, Hiroki Naganuma
2024	J	`jnl`	On permutation-invariant neural networks. CoRR Masanari Kimura, Ryotaro Shimizu, Yuki Hirakawa, Ryosuke Goto, Yuki Saito
2024	J	`jnl`	Test-Time Augmentation Meets Variational Bayes. CoRR Masanari Kimura, Howard D. Bondell
2024	J	`jnl`	Understanding Test-Time Augmentation. CoRR Masanari Kimura
2023	J	`jnl`	Generalization Bounds for Set-to-Set Matching with Negative Sampling. CoRR Masanari Kimura
2023	J	`jnl`	Information Geometrically Generalized Covariate Shift Adaptation. CoRR Masanari Kimura, Hideitsu Hino
2023	J	`jnl`	On the Decomposition of Covariate Shift Assumption for the Set-to-Set Matching. IEEE Access Masanari Kimura
2023	—	`conf`	SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts. CVPR Workshops Masanari Kimura, Takuma Nakamura, Yuki Saito
2022	J	`jnl`	Fashion-Specific Attributes Interpretation via Dual Gaussian Visual-Semantic Embedding. CoRR Ryotaro Shimizu, Masanari Kimura, Masayuki Goto
2022	J	`jnl`	GRASP EARTH: Intuitive Software for Discovering Changes on the Planet. CoRR Waku Hatakeyama, Shirou Kawakita, Ryohei Izawa, Masanari Kimura
2022	—	`conf`	Generalization Bounds for Set-to-Set Matching with Negative Sampling. ICONIP (4) Masanari Kimura
2022	J	`jnl`	Information Geometrically Generalized Covariate Shift Adaptation. Neural Comput. Masanari Kimura, Hideitsu Hino
2022	J	`jnl`	Information Geometry of Dropout Training. CoRR Masanari Kimura, Hideitsu Hino
2021	J	`jnl`	$α$-Geodesical Skew Divergence. CoRR Masanari Kimura, Hideitsu Hino
2021	B	`conf`	Density-Fixing: Simple yet Effective Regularization Method based on the Class Priors. IJCNN Masanari Kimura, Ryohei Izawa
2021	J	`jnl`	Generalized t-SNE Through the Lens of Information Geometry. IEEE Access Masanari Kimura
2021	J	`jnl`	SHIFT15M: Multiobjective Large-Scale Fashion Dataset with Distributional Shifts. CoRR Masanari Kimura, Takuma Nakamura, Yuki Saito
2021	—	`conf`	Understanding Test-Time Augmentation. ICONIP (1) Masanari Kimura
2021	—	`conf`	Why Mixup Improves the Model Performance. ICANN (2) Masanari Kimura
2021	J	`jnl`	α-Geodesical Skew Divergence. Entropy Masanari Kimura, Hideitsu Hino
2020	B	`conf`	Batch Prioritization of Data Labeling Tasks for Training Classifiers. HCOMP Masanari Kimura, Kei Wakabayashi, Atsuyuki Morishima
2020	J	`jnl`	Density Fixing: Simple yet Effective Regularization Method based on the Class Prior. CoRR Masanari Kimura, Ryohei Izawa
2020	J	`jnl`	Mixup Training as the Complexity Reduction. CoRR Masanari Kimura
2020	—	`conf`	New Perspective of Interpretability of Deep Neural Networks. ICICT Masanari Kimura, Masayuki Tanaka
2019	J	`jnl`	Intentional Attention Mask Transformation for Robust CNN Classification. CoRR Masanari Kimura, Masayuki Tanaka
2019	—	`conf`	Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks. CVPR Workshops Masanari Kimura, Masayuki Tanaka
2019	J	`jnl`	Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks. CoRR Masanari Kimura, Masayuki Tanaka
2019	J	`jnl`	Large-Scale Landslides Detection from Satellite Images with Incomplete Labels. CoRR Masanari Kimura
2019	J	`jnl`	New Perspective of Interpretability of Deep Neural Networks. CoRR Masanari Kimura, Masayuki Tanaka
2019	J	`jnl`	PNUNet: Anomaly Detection using Positive-and-Negative Noise based on Self-Training Procedure. CoRR Masanari Kimura
2018	—	`conf`	Analyzing Centralities of Embedded Nodes. ICDM Workshops Kento Nozawa, Masanari Kimura, Atsunori Kanemura
2018	—	`conf`	Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data. ACCV Workshops Masanari Kimura, Takashi Yanagihara
2018	J	`jnl`	Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms. CoRR Kento Nozawa, Masanari Kimura, Atsunori Kanemura
2018	J	`jnl`	Semi-supervised Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data. CoRR Masanari Kimura, Takashi Yanagihara