Masanari Kimura

According to our database, Masanari Kimura authored at least 27 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

On permutation-invariant neural networks.

Masanari Kimura, Ryotaro Shimizu, Yuki Hirakawa, Ryosuke Goto, Yuki Saito

CoRR, 2024

A Short Survey on Importance Weighting for Machine Learning.

Masanari Kimura, Hideitsu Hino

CoRR, 2024

2023

On the Decomposition of Covariate Shift Assumption for the Set-to-Set Matching.

Masanari Kimura

IEEE Access, 2023

SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts.

Masanari Kimura, Takuma Nakamura, Yuki Saito

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Information Geometrically Generalized Covariate Shift Adaptation.

Masanari Kimura, Hideitsu Hino

Neural Comput., 2022

Fashion-Specific Attributes Interpretation via Dual Gaussian Visual-Semantic Embedding.

Ryotaro Shimizu, Masanari Kimura, Masayuki Goto

CoRR, 2022

Information Geometry of Dropout Training.

Masanari Kimura, Hideitsu Hino

CoRR, 2022

GRASP EARTH: Intuitive Software for Discovering Changes on the Planet.

Waku Hatakeyama, Shirou Kawakita, Ryohei Izawa, Masanari Kimura

CoRR, 2022

Generalization Bounds for Set-to-Set Matching with Negative Sampling.

Masanari Kimura

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

α-Geodesical Skew Divergence.

Masanari Kimura, Hideitsu Hino

Entropy, 2021

SHIFT15M: Multiobjective Large-Scale Fashion Dataset with Distributional Shifts.

Masanari Kimura, Takuma Nakamura, Yuki Saito

CoRR, 2021

Generalized t-SNE Through the Lens of Information Geometry.

Masanari Kimura

IEEE Access, 2021

Density-Fixing: Simple yet Effective Regularization Method based on the Class Priors.

Masanari Kimura, Ryohei Izawa

Proceedings of the International Joint Conference on Neural Networks, 2021

Understanding Test-Time Augmentation.

Masanari Kimura

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Why Mixup Improves the Model Performance.

Masanari Kimura

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Density Fixing: Simple yet Effective Regularization Method based on the Class Prior.

Masanari Kimura, Ryohei Izawa

CoRR, 2020

Mixup Training as the Complexity Reduction.

Masanari Kimura

CoRR, 2020

New Perspective of Interpretability of Deep Neural Networks.

Masanari Kimura, Masayuki Tanaka

Proceedings of the 3rd International Conference on Information and Computer Technologies, 2020

Batch Prioritization of Data Labeling Tasks for Training Classifiers.

Masanari Kimura, Kei Wakabayashi, Atsuyuki Morishima

Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing, 2020

2019

Large-Scale Landslides Detection from Satellite Images with Incomplete Labels.

Masanari Kimura

CoRR, 2019

PNUNet: Anomaly Detection using Positive-and-Negative Noise based on Self-Training Procedure.

Masanari Kimura

CoRR, 2019

Intentional Attention Mask Transformation for Robust CNN Classification.

Masanari Kimura, Masayuki Tanaka

CoRR, 2019

Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks.

Masanari Kimura, Masayuki Tanaka

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Semi-supervised Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data.

Masanari Kimura, Takashi Yanagihara

CoRR, 2018

Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms.

Kento Nozawa, Masanari Kimura, Atsunori Kanemura

CoRR, 2018

Analyzing Centralities of Embedded Nodes.

Kento Nozawa, Masanari Kimura, Atsunori Kanemura

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data.

Masanari Kimura, Takashi Yanagihara

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018