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Open access 2026

Multi-Scale Model Compression via Nested Matrix Learning

Nested Matrix Learning is proposed, a method that trains a single, flexible model capable of generating multiple high-performing “student” models of varying sizes by simultaneously optimizing a pre-trained teacher model and its nested sub-models in a single training process.

Xiang-Jue Dong, Aditya Anantharaman, Hemant Pugaliya et al. · 0 citations

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