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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 26–37 of 37 papers

TitleStatusHype
SPIQ: Data-Free Per-Channel Static Input Quantization—0
Patch Similarity Aware Data-Free Quantization for Vision TransformersCode1
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian ApproximationCode1
Qimera: Data-free Quantization with Synthetic Boundary Supporting SamplesCode1
Diverse Sample Generation: Pushing the Limit of Generative Data-free QuantizationCode1
Zero-shot Adversarial Quantization—0
Diversifying Sample Generation for Accurate Data-Free Quantization—0
Generative Zero-shot Network Quantization—0
Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer—0
Generative Low-bitwidth Data Free QuantizationCode1
ZeroQ: A Novel Zero Shot Quantization FrameworkCode1
Data-Free Quantization Through Weight Equalization and Bias CorrectionCode1
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