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cs.CV2024
Compression for Better: A General and Stable Lossless Compression Framework
Boyang Zhang, Daning Cheng, Yunquan Zhang +2
This work focus on how to stabilize and lossless model compression, aiming to reduce model complexity and enhance efficiency without sacrificing performance due to compression erro…
cs.LG2024
Lossless Model Compression via Joint Low-Rank Factorization Optimization
Boyang Zhang, Daning Cheng, Yunquan Zhang +2
Low-rank factorization is a popular model compression technique that minimizes the error between approximated and original weight matrices. Despite achieving performances close…
cs.LG2024
FP=xINT:Representing Neural Networks via Low-Bit Series Basis Functions
Boyang Zhang, Daning Cheng, Yunquan Zhang +3
Post-Training Quantization (PTQ) converts pre-trained Full-Precision (FP) models into quantized versions without training. While existing methods reduce size and computational cost…