Masanari Kimura

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 37

Top Topics

Visual Inspection

Information Geometry

Kullback Leibler

Top Venues

Publications

Masanari Kimura, Hideitsu Hino
A Short Survey on Importance Weighting for Machine Learning. Trans. Mach. Learn. Res. 2024 (2024)
Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu, Yuki Saito
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property. CoRR (2024)
Masanari Kimura
Understanding Test-Time Augmentation. CoRR (2024)
Masanari Kimura, Ryotaro Shimizu, Yuki Hirakawa, Ryosuke Goto, Yuki Saito
On permutation-invariant neural networks. CoRR (2024)
Masanari Kimura, Hideitsu Hino
A Short Survey on Importance Weighting for Machine Learning. CoRR (2024)
Masanari Kimura, Howard D. Bondell
Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds. CoRR (2024)
Masanari Kimura, Hiroki Naganuma
Geometric Insights into Focal Loss: Reducing Curvature for Enhanced Model Calibration. CoRR (2024)
Masanari Kimura
On the Decomposition of Covariate Shift Assumption for the Set-to-Set Matching. IEEE Access 11 (2023)
Masanari Kimura
Generalization Bounds for Set-to-Set Matching with Negative Sampling. CoRR (2023)
Masanari Kimura, Hideitsu Hino
Information Geometrically Generalized Covariate Shift Adaptation. CoRR (2023)
Masanari Kimura, Takuma Nakamura, Yuki Saito
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts. CVPR Workshops (2023)
Masanari Kimura, Hideitsu Hino
Information Geometrically Generalized Covariate Shift Adaptation. Neural Comput. 34 (9) (2022)
Waku Hatakeyama, Shirou Kawakita, Ryohei Izawa, Masanari Kimura
GRASP EARTH: Intuitive Software for Discovering Changes on the Planet. CoRR (2022)
Masanari Kimura
Generalization Bounds for Set-to-Set Matching with Negative Sampling. ICONIP (4) (2022)
Masanari Kimura, Hideitsu Hino
Information Geometry of Dropout Training. CoRR (2022)
Ryotaro Shimizu, Masanari Kimura, Masayuki Goto
Fashion-Specific Attributes Interpretation via Dual Gaussian Visual-Semantic Embedding. CoRR (2022)
Masanari Kimura
Generalized t-SNE Through the Lens of Information Geometry. IEEE Access 9 (2021)
Masanari Kimura
Understanding Test-Time Augmentation. ICONIP (1) (2021)
Masanari Kimura, Ryohei Izawa
Density-Fixing: Simple yet Effective Regularization Method based on the Class Priors. IJCNN (2021)
Masanari Kimura
Why Mixup Improves the Model Performance. ICANN (2) (2021)
Masanari Kimura, Hideitsu Hino
α-Geodesical Skew Divergence. Entropy 23 (5) (2021)
Masanari Kimura, Takuma Nakamura, Yuki Saito
SHIFT15M: Multiobjective Large-Scale Fashion Dataset with Distributional Shifts. CoRR (2021)
Masanari Kimura, Hideitsu Hino
$α$-Geodesical Skew Divergence. CoRR (2021)
Masanari Kimura
Mixup Training as the Complexity Reduction. CoRR (2020)
Masanari Kimura, Masayuki Tanaka
New Perspective of Interpretability of Deep Neural Networks. ICICT (2020)
Masanari Kimura, Ryohei Izawa
Density Fixing: Simple yet Effective Regularization Method based on the Class Prior. CoRR (2020)
Masanari Kimura, Kei Wakabayashi, Atsuyuki Morishima
Batch Prioritization of Data Labeling Tasks for Training Classifiers. HCOMP (2020)
Masanari Kimura, Masayuki Tanaka
Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks. CoRR (2019)
Masanari Kimura, Masayuki Tanaka
Intentional Attention Mask Transformation for Robust CNN Classification. CoRR (2019)
Masanari Kimura
PNUNet: Anomaly Detection using Positive-and-Negative Noise based on Self-Training Procedure. CoRR (2019)
Masanari Kimura
Large-Scale Landslides Detection from Satellite Images with Incomplete Labels. CoRR (2019)
Masanari Kimura, Masayuki Tanaka
Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks. CVPR Workshops (2019)
Masanari Kimura, Masayuki Tanaka
New Perspective of Interpretability of Deep Neural Networks. CoRR (2019)
Kento Nozawa, Masanari Kimura, Atsunori Kanemura
Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms. CoRR (2018)
Kento Nozawa, Masanari Kimura, Atsunori Kanemura
Analyzing Centralities of Embedded Nodes. ICDM Workshops (2018)
Masanari Kimura, Takashi Yanagihara
Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data. ACCV Workshops (2018)
Masanari Kimura, Takashi Yanagihara
Semi-supervised Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data. CoRR (2018)