ExPLoRe
Official PyTorch implementation of the ECCV 2026 ExPLoRe paper. Repurposes Soft-MoE dispatch weights as learned, per-patch loss coefficients for multi-objective masked image modeling — loss-coupling lets gradients flow through dispatch to the router for content-dependent specialization. ViT-Base + CLIP-B/16 teacher hits 80.6% linear probe and 85.3% finetune on ImageNet-1K.


