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05/25/2023
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
The generalization of neural networks is a central challenge in machine ...
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05/23/2023
Layer-adaptive Structured Pruning Guided by Latency
Structured pruning can simplify network architecture and improve inferen...
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02/16/2023
Graph Adversarial Immunization for Certifiable Robustness
Despite achieving great success, graph neural networks (GNNs) are vulner...
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08/03/2022
Adversarial Camouflage for Node Injection Attack on Graphs
Node injection attacks against Graph Neural Networks (GNNs) have receive...
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05/31/2022
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Training generative adversarial networks (GANs) with limited data is val...
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04/25/2022
Fine-tuning Pruned Networks with Linear Over-parameterization
Structured pruning compresses neural networks by reducing channels (filt...
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07/21/2021
cGANs with Auxiliary Discriminative Classifier
Conditional generative models aim to learn the underlying joint distribu...
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06/16/2021
Self-supervised GANs with Label Augmentation
Recently, transformation-based self-supervised learning has been applied...
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01/07/2021
SDGNN: Learning Node Representation for Signed Directed Networks
Network embedding is aimed at mapping nodes in a network into low-dimens...
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12/10/2020
Slimmable Generative Adversarial Networks
Generative adversarial networks (GANs) have achieved remarkable progress...
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07/27/2020
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification
Graph neural networks (GNNs) achieve remarkable success in graph-based s...
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07/19/2020
Adversarial Immunization for Improving Certifiable Robustness on Graphs
Despite achieving strong performance in the semi-supervised node classif...
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06/26/2019
