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04/19/2023
Information Geometrically Generalized Covariate Shift Adaptation
Many machine learning methods assume that the training and test data fol...
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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...
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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...
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06/22/2022
Information Geometry of Dropout Training
Dropout is one of the most popular regularization techniques in neural n...
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03/02/2022
GRASP EARTH: Intuitive Software for Discovering Changes on the Planet
Detecting changes on the Earth, such as urban development, deforestation...
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08/30/2021
SHIFT15M: Multiobjective Large-Scale Fashion Dataset with Distributional Shifts
Many machine learning algorithms assume that the training data and the t...
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03/31/2021
α-Geodesical Skew Divergence
The asymmetric skew divergence smooths one of the distributions by mixin...
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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...
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06/11/2020
Mixup Training as the Complexity Reduction
Machine learning has achieved remarkable results in recent years due to ...
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10/16/2019
Large-Scale Landslides Detection from Satellite Images with Incomplete Labels
Earthquakes and tropical cyclones cause the suffering of millions of peo...
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09/12/2019
New Perspective of Interpretability of Deep Neural Networks
Deep neural networks (DNNs) are known as black-box models. In other word...
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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 ...
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05/07/2019
Intentional Attention Mask Transformation for Robust CNN Classification
Convolutional Neural Networks have achieved impressive results in variou...
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04/30/2019
Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks
Convolutional Neural Networks have achieved impressive results in variou...
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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...
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02/18/2018