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

First-Order Error Matters: Accurate Compensation for Quantized Large Language Models AAAI 2026

Calibrating Beyond English: Language Diversity for Better Quantized Multilingual LLMs EACL 2026

MemeBQ:Memory Efficient Binary Quantization of LLMs AAAI 2026

QuEPT: Quantized Elastic Precision Transformers with One-Shot Calibration for Multi-Bit Switching AAAI 2026

Unveiling AI Safety in Fine-tuning Quantized Model AAAI 2026

FP=XINT: Representing Neural Networks via Low-Bit Series Basis Functions AAAI 2026

Post Training Quantization for Efficient Dataset Condensation AAAI 2026

FLRQ: Faster LLM Quantization with Flexible Low-Rank Matrix Sketching AAAI 2026

QuantVSR: Low-Bit Post-Training Quantization for Real-World Video Super-Resolution AAAI 2026

UQ-ViT: Harmonizing Extreme Activations with Hardware-Friendly Uniform Quantization in Vision Transformers AAAI 2026

SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model AAAI 2026

HarmoQ: Harmonized Post-Training Quantization for High-Fidelity Image Super-Resolution AAAI 2026

APEX-Q: Arbitrary-dimension Product-EXtension Quantization for Accelerated LLM Deployment (Student Abstract) AAAI 2026

Bi-VLM: Binary Post-Training Quantization for Vision-Language Models AAAI 2026

IPTQ-ViT: Post-Training Quantization of Non-linear Functions for Integer-only Vision Transformers WACV 2026

Outlier-Aware Post-Training Quantization for Image Super-Resolution ICCV 2025

AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model ICCV 2025

DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing WACV 2025

AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers AAAI 2025

TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models AAAI 2025

ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba ICCV 2025

AMP-ViT: Optimizing Vision Transformer Efficiency with Adaptive Mixed-Precision Post-Training Quantization WACV 2025

GenPTQ: Green Post-Training Quantization for Large-Scale ASR Models with Mixed-Precision Bit Allocation EMNLP 2025

MLWQ: Efficient Small Language Model Deployment via Multi-Level Weight Quantization EMNLP 2025

OAC: Output-adaptive Calibration for Accurate Post-training Quantization AAAI 2025