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Efficient Multi-Task Learning (EMTAL) transforms pre-trained Vision Transformers into efficient multi-task learners by using a MoEfied LoRA structure, a Quality Retaining optimization, and a router fa…

realSEUDO: Real-time calcium imaging analysis now possible at speeds exceeding 30 Hz, enabling sophisticated closed-loop neuroscience experiments.

Dual Lagrangian Learning (DLL) revolutionizes conic optimization by leveraging machine learning to efficiently learn high-quality dual-feasible solutions, achieving 1000x speedups over traditional sol…

Cross-video Identity-cOrrelating pre-training (CION) revolutionizes person re-identification by leveraging identity correlation across videos for superior model pre-training, achieving state-of-the-ar…