GEM replaces learned routers in MoE models with a global scheduler based on linear programming relaxation and hierarchical rounding, achieving SOTA on the UODB multi-domain benchmark with gains on rare domains.
Grounding dino: Marrying dino with grounded pre-training for open-set object detection,
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Multi-Domain Learning with Global Expert Mapping
GEM replaces learned routers in MoE models with a global scheduler based on linear programming relaxation and hierarchical rounding, achieving SOTA on the UODB multi-domain benchmark with gains on rare domains.