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By incorporating language guidance into federated learning, SurgFed tackles the long-standing problem of tissue and task heterogeneity in surgical video understanding, leading to improved segmentation and depth estimation across diverse surgical settings.
Stop struggling with inconsistent benchmarks for mass spec prediction: FlexMS offers a flexible framework to build and evaluate diverse deep learning architectures, revealing key factors that drive performance.
VecFormer slashes the computational cost of graph transformers while boosting out-of-distribution generalization by operating attention on quantized "graph tokens" instead of individual nodes.
