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04/18/2023
Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling
Quantization of transformer language models faces significant challenges...
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09/27/2022
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models
Transformer architecture has become the fundamental element of the wides...
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Distribution-sensitive Information Retention for Accurate Binary Neural Network
Model binarization is an effective method of compressing neural networks...
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09/01/2021
Diverse Sample Generation: Pushing the Limit of Data-free Quantization
Recently, generative data-free quantization emerges as a practical appro...
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