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09/02/2022
Structure-Preserving Graph Representation Learning
Though graph representation learning (GRL) has made significant progress...
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07/19/2022
Self-Supervision Can Be a Good Few-Shot Learner
Existing few-shot learning (FSL) methods rely on training with a large l...
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08/10/2021
Self-supervised Consensus Representation Learning for Attributed Graph
Attempting to fully exploit the rich information of topological structur...
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07/20/2021
Boosting few-shot classification with view-learnable contrastive learning
The goal of few-shot classification is to classify new categories with f...
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07/16/2021
Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition
Few-Shot image classification aims to utilize pretrained knowledge learn...
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05/10/2021
AFINet: Attentive Feature Integration Networks for Image Classification
Convolutional Neural Networks (CNNs) have achieved tremendous success in...
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05/03/2020
Mutual Information Gradient Estimation for Representation Learning
Mutual Information (MI) plays an important role in representation learni...
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03/14/2019
