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08/15/2023
Backpropagation Path Search On Adversarial Transferability
Deep neural networks are vulnerable to adversarial examples, dictating t...
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06/14/2023
On the Robustness of Latent Diffusion Models
Latent diffusion models achieve state-of-the-art performance on a variet...
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05/30/2023
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
While contrastive self-supervised learning has become the de-facto learn...
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05/23/2023
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs
Anomaly detection aims to distinguish abnormal instances that deviate si...
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05/18/2023
DiffUTE: Universal Text Editing Diffusion Model
Diffusion model based language-guided image editing has achieved great s...
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05/18/2023
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs
The prevalence of large-scale graphs poses great challenges in time and ...
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05/16/2023
Mobile User Interface Element Detection Via Adaptively Prompt Tuning
Recent object detection approaches rely on pretrained vision-language mo...
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03/06/2023
DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk
Graph representation plays an important role in the field of financial r...
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12/06/2022
DiffusionInst: Diffusion Model for Instance Segmentation
Recently, diffusion frameworks have achieved comparable performance with...
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11/16/2022
Hierarchical Dynamic Image Harmonization
Image harmonization is a critical task in computer vision, which aims to...
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10/07/2022
A2: Efficient Automated Attacker for Boosting Adversarial Training
Based on the significant improvement of model robustness by AT (Adversar...
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08/15/2022
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
Recent years have seen a surge in research on dynamic graph representati...
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05/20/2022
MaskGAE: Masked Graph Modeling Meets Graph Autoencoders
We present masked graph autoencoder (MaskGAE), a self-supervised learnin...
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04/20/2022
GUARD: Graph Universal Adversarial Defense
Recently, graph convolutional networks (GCNs) have shown to be vulnerabl...
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03/14/2022
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding
Recently, various multimodal networks for Visually-Rich Document Underst...
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01/17/2022
MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees
Despite the success of deep learning in computer vision and natural lang...
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06/22/2021