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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
Enhancing Diversity for Data-free Quantization—0
Generative Zero-shot Network Quantization—0
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity—0
OuroMamba: A Data-Free Quantization Framework for Vision Mamba Models—0
Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in Healthcare—0
QNNRepair: Quantized Neural Network Repair—0
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
Rethinking Data-Free Quantization as a Zero-Sum GameCode0
Genie: Show Me the Data for QuantizationCode0
Causal-DFQ: Causality Guided Data-free Network QuantizationCode0
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