Masanari Kimura | DeepAI

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Featured Co-authors

Masayuki Tanaka
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Yuki Saito
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Kento Nozawa
6 publications
Takuma Nakamura
4 publications
Atsunori Kanemura
3 publications
Masayuki Goto
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Ryotaro Shimizu
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Ryohei Izawa
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Waku Hatakeyama
1 publication
Shirou Kawakita
1 publication

∙ 04/19/2023

Information Geometrically Generalized Covariate Shift Adaptation

Many machine learning methods assume that the training and test data fol...

0 Masanari Kimura, et al. ∙

∙ 02/25/2023

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

The problem of matching two sets of multiple elements, namely set-to-set...

0 Masanari Kimura, et al. ∙

∙ 10/28/2022

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

Several techniques to map various types of components, such as words, at...

0 Ryotaro Shimizu, et al. ∙

∙ 06/22/2022

Information Geometry of Dropout Training

Dropout is one of the most popular regularization techniques in neural n...

0 Masanari Kimura, et al. ∙

∙ 03/02/2022

GRASP EARTH: Intuitive Software for Discovering Changes on the Planet

Detecting changes on the Earth, such as urban development, deforestation...

0 Waku Hatakeyama, et al. ∙

∙ 08/30/2021

SHIFT15M: Multiobjective Large-Scale Fashion Dataset with Distributional Shifts

Many machine learning algorithms assume that the training data and the t...

0 Masanari Kimura, et al. ∙

∙ 03/31/2021

α-Geodesical Skew Divergence

The asymmetric skew divergence smooths one of the distributions by mixin...

0 Masanari Kimura, et al. ∙

∙ 07/08/2020

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

Machine learning models suffer from overfitting, which is caused by a la...

0 Masanari Kimura, et al. ∙

∙ 06/11/2020

Mixup Training as the Complexity Reduction

Machine learning has achieved remarkable results in recent years due to ...

0 Masanari Kimura, et al. ∙

∙ 10/16/2019

Large-Scale Landslides Detection from Satellite Images with Incomplete Labels

Earthquakes and tropical cyclones cause the suffering of millions of peo...

8 Masanari Kimura, et al. ∙

∙ 09/12/2019

New Perspective of Interpretability of Deep Neural Networks

Deep neural networks (DNNs) are known as black-box models. In other word...

0 Masanari Kimura, et al. ∙

∙ 05/27/2019

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

We propose the novel framework for anomaly detection in images. Our new ...

0 Masanari Kimura, et al. ∙

∙ 05/07/2019

Intentional Attention Mask Transformation for Robust CNN Classification

Convolutional Neural Networks have achieved impressive results in variou...

0 Masanari Kimura, et al. ∙

∙ 04/30/2019

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

Convolutional Neural Networks have achieved impressive results in variou...

0 Masanari Kimura, et al. ∙

∙ 07/03/2018

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

The detection and the quantification of anomalies in image data are crit...

0 Masanari Kimura, et al. ∙

∙ 02/18/2018

Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms

Embedding graph nodes into a vector space can allow the use of machine l...

0 Kento Nozawa, et al. ∙