← Keywords

post-training quantization

124 papers

Explore in graph

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

Achieving binary weight and activation for LLMs using Post-Training Quantization ACL 2025
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models AAAI 2025
Q-Mamba: Towards more efficient Mamba models via post-training quantization ACL 2025
APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers CVPR 2025
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers CVPR 2025
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution CVPR 2025
Team HUMANE at AVeriTeC 2025: HerO 2 for Efficient Fact Verification ACL 2025
ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models AAAI 2025
OAC: Output-adaptive Calibration for Accurate Post-training Quantization AAAI 2025
DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization ICCV 2025
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models ACL 2025
ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization AAAI 2025
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers AAAI 2025
Beyond Dynamic Quantization: An Efficient Static Hierarchical Mix-precision Framework for Near-Lossless LLM Compression EMNLP 2025
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers AAAI 2025
ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba ICCV 2025
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models AAAI 2025
OuroMamba: A Data-Free Quantization Framework for Vision Mamba ICCV 2025
AMP-ViT: Optimizing Vision Transformer Efficiency with Adaptive Mixed-Precision Post-Training Quantization WACV 2025
PTQ4VM: Post-Training Quantization for Visual Mamba WACV 2025
Data Generation for Hardware-Friendly Post-Training Quantization WACV 2025
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales CVPR 2025
QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge CVPR 2025
KurTail : Kurtosis-based LLM Quantization EMNLP 2025
Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation ICCV 2025