CRISP unifies model compression and parameter-efficient fine-tuning by decomposing weights into shared bases and small mixers, reporting 1-5% gains over prior dual-task and specialized methods.
Hyperdiffusion: Generating implicit neu- ral fields with weight-space diffusion.2023 IEEE/CVF In- ternational Conference on Computer Vision (ICCV), pages 14254–14264, 2023
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Decompose, Mix, Adapt: A Unified Framework for Parameter-Efficient Neural Network Recombination and Compression
CRISP unifies model compression and parameter-efficient fine-tuning by decomposing weights into shared bases and small mixers, reporting 1-5% gains over prior dual-task and specialized methods.