2026
Mixture of Mini Experts: Overcoming the Linear Layer Bottleneck in Multiple Instance Learning
ICLR 2026poster
Multiple Instance Learning (MIL) is the predominant approach 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…