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Found 5 papers, 1 papers with code
BRIEDGE: EEG-Adaptive Edge AI for Multi-Brain to Multi-Robot Interaction
To better extract the joint features of heterogeneous EEG data as well as enhance classification accuracy, BRIEDGE introduces an informer-based ProbSparse self-attention mechanism.
HAIFIT: Human-Centered AI for Fashion Image Translation
Our method excels in preserving the distinctive style and intricate details essential for fashion design applications.
EXGC: Bridging Efficiency and Explainability in Graph Condensation
Graph representation learning on vast datasets, like web data, has made significant strides.
Attend Who is Weak: Enhancing Graph Condensation via Cross-Free Adversarial Training
We seminally propose the concept of Shock Absorber (a type of perturbation) that enhances the robustness and stability of the original graphs against changes in an adversarial training fashion.
ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling
Recent years have witnessed significant developments in point cloud processing, including classification and segmentation.
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