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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 1–25 of 37 papers

TitleStatusHype
DVD-Quant: Data-free Video Diffusion Transformers QuantizationCode1
OuroMamba: A Data-Free Quantization Framework for Vision Mamba Models—0
Enhancing Diversity for Data-free Quantization—0
Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers—0
Relation-Guided Adversarial Learning for Data-free Knowledge TransferCode1
A method of using RSVD in residual calculation of LowBit GEMM—0
Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in Healthcare—0
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity—0
EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs—0
Data-Free Quantization via Pseudo-label Filtering—0
Robustness-Guided Image Synthesis for Data-Free Quantization—0
Causal-DFQ: Causality Guided Data-free Network QuantizationCode0
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning—0
QNNRepair: Quantized Neural Network Repair—0
Towards Accurate Post-training Quantization for Diffusion ModelsCode1
LLM-QAT: Data-Free Quantization Aware Training for Large Language ModelsCode3
Adaptive Data-Free QuantizationCode1
Rethinking Data-Free Quantization as a Zero-Sum GameCode0
ACQ: Improving Generative Data-free Quantization Via Attention Correction—0
Genie: Show Me the Data for QuantizationCode0
Zero-Shot Learning of a Conditional Generative Adversarial Network for Data-Free Network Quantization—0
PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision TransformersCode1
Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization—0
Data-Free Quantization with Accurate Activation Clipping and Adaptive Batch Normalization—0
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the TeacherCode1
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