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09/07/2023
Promoting Fairness in GNNs: A Characterization of Stability
The Lipschitz bound, a technique from robust statistics, can limit the m...
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07/07/2023
All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignment
Current mainstream vision-language (VL) tracking framework consists of t...
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05/14/2023
A Comprehensive Survey on Segment Anything Model for Vision and Beyond
Artificial intelligence (AI) is evolving towards artificial general inte...
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12/08/2022
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning
Well-annotated medical datasets enable deep neural networks (DNNs) to ga...
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10/12/2022
Boosting Graph Neural Networks via Adaptive Knowledge Distillation
Graph neural networks (GNNs) have shown remarkable performance on divers...
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10/10/2022
HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining
The self-supervised ultrasound (US) video model pretraining can use a sm...
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10/01/2022
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning
Even pruned by the state-of-the-art network compression methods, Graph N...
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09/30/2022
Contrastive Graph Few-Shot Learning
Prevailing deep graph learning models often suffer from label sparsity i...
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09/16/2022
Adversarial Cross-View Disentangled Graph Contrastive Learning
Graph contrastive learning (GCL) is prevalent to tackle the supervision ...
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08/21/2022
Heterogeneous Graph Masked Autoencoders
Generative self-supervised learning (SSL), especially masked autoencoder...
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05/19/2022
Label-invariant Augmentation for Semi-Supervised Graph Classification
Recently, contrastiveness-based augmentation surges a new climax in the ...
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02/23/2022
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search
Neural networks often encounter various stringent resource constraints w...
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01/19/2022
WebUAV-3M: A Benchmark Unveiling the Power of Million-Scale Deep UAV Tracking
In this work, we contribute a new million-scale Unmanned Aerial Vehicle ...
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03/23/2021
Student Network Learning via Evolutionary Knowledge Distillation
Knowledge distillation provides an effective way to transfer knowledge v...
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11/25/2020
Effective Sample Pair Generation for Ultrasound Video Contrastive Representation Learning
Most deep neural networks (DNNs) based ultrasound (US) medical image ana...
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11/06/2020
