AI RESEARCH
Mixture of Mini Experts: Overcoming the Linear Layer Bottleneck in Multiple Instance Learning
arXiv CS.CV
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ArXi:2603.22198v1 Announce Type: new Multiple Instance Learning (MIL) is the predominant framework for classifying gigapixel whole-slide images in computational pathology. MIL follows a sequence of 1) extracting patch features, 2) applying a linear layer to obtain task-specific patch features, and 3) aggregating the patches into a slide feature for classification.