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post-training quantization

124 papers

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Also known as

PTQ

Co-occurring keywords

model compression (3283) model quantization (279) weight quantization (133) large language model (12755) activation quantization (47) neural network quantization (122) diffusion model (3720) neural network optimization (1293) efficient computing (779) vision transformer (1091)

Papers

Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector CVPR 2024
Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation AAAI 2024
Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models AAAI 2024
PTQ4SAM: Post-Training Quantization for Segment Anything CVPR 2024
Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling EMNLP 2023
Post-Training Quantization on Diffusion Models CVPR 2023
PD-Quant: Post-Training Quantization Based on Prediction Difference Metric CVPR 2023
Genie: Show Me the Data for Quantization CVPR 2023
Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization CVPR 2023
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective CVPR 2023
LLM-FP4: 4-Bit Floating-Point Quantized Transformers EMNLP 2023
Towards Efficient and Accurate Winograd Convolution via Full Quantization NIPS 2023
OMPQ: Orthogonal Mixed Precision Quantization AAAI 2023
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models ACL 2023
RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers ICCV 2023
Toward Accurate Post-Training Quantization for Image Super Resolution CVPR 2023
Q-Diffusion: Quantizing Diffusion Models ICCV 2023
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization ICML 2023
Temporal Dynamic Quantization for Diffusion Models NIPS 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models NIPS 2023
Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis NIPS 2023
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models ICML 2023
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers CVPR 2023
A Frustratingly Easy Post-Training Quantization Scheme for LLMs EMNLP 2023
Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization EMNLP 2023