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School of Integrated Circuits, Harbin Institute of Technology Shenzhen, Shenzhen, Guangdong, China
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BrainSTR disentangles subtle disease signatures in dynamic brain networks by explicitly modeling spatio-temporal dependencies with contrastive learning, revealing interpretable biomarkers for neuropsychiatric disorders.
Forget monolithic adapters: a hierarchical "expert forest" leverages semantic relationships between tasks to achieve state-of-the-art performance in class-incremental learning.
Ditch the codebook: VP-VAE achieves stable VQ-VAE training by perturbing latent vectors instead of relying on explicit vector quantization.
Transformer-based visual trackers, thought to be robust, crumble under a new patch-based adversarial attack (PANC) that's over 160% more effective and 10x more efficient than existing methods.
