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Data Free Quantization

Data Free Quantization is a technique to achieve a highly accurate quantized model without accessing any training data.

Source: Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples

Papers

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Showing 11–20 of 37 papers

TitleStatusHype
Towards Accurate Post-training Quantization for Diffusion ModelsCode1
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the TeacherCode1
ZeroQ: A Novel Zero Shot Quantization FrameworkCode1
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian ApproximationCode1
Genie: Show Me the Data for QuantizationCode0
Rethinking Data-Free Quantization as a Zero-Sum GameCode0
Causal-DFQ: Causality Guided Data-free Network QuantizationCode0
Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer—0
Zero-shot Adversarial Quantization—0
ACQ: Improving Generative Data-free Quantization Via Attention Correction—0
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