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10/26/2022
Disentangled Text Representation Learning with Information-Theoretic Perspective for Adversarial Robustness
Adversarial vulnerability remains a major obstacle to constructing relia...
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10/24/2022
Spiking Variational Graph Auto-Encoders for Efficient Graph Representation Learning
Graph representation learning is a fundamental research issue and benefi...
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01/08/2022
A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval
Cross-Modal Retrieval (CMR) is an important research topic across multim...
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09/02/2021
AnANet: Modeling Association and Alignment for Cross-modal Correlation Classification
The explosive increase of multimodal data makes a great demand in many c...
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06/22/2021
A Deep Latent Space Model for Graph Representation Learning
Graph representation learning is a fundamental problem for modeling rela...
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04/27/2021
A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking
To inhibit the spread of rumorous information and its severe consequence...
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09/18/2019