model quantization

279 papers

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Also known as

PTQ INT8 QDNN

Co-occurring keywords

model compression (3283) large language model (12755) knowledge distillation (3680) weight quantization (133) post-training quantization (124) neural network optimization (1293) efficient computing (779) neural network (6616) activation quantization (47) efficient inference (225)

Papers

HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models AAAI 2026

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

OTARo: Once Tuning for All Precisions Toward Robust On-Device LLMs AAAI 2026

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

Double Rounding: Nearly Lossless Adaptive Bit Switching for QAT AAAI 2026

Crash2DocAI: Automated Integration of Post-Crash Car Part Images into Technical Reports WACV 2026

HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference AAAI 2026

Q-ROAR: Outlier-Aware Rescaling for RoPE Position Interpolation in Quantized Long-Context LLMs (Student Abstract) AAAI 2026

FQ-PETR: Fully Quantized Position Embedding Transformation for Multi-View 3D Object Detection AAAI 2026

SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization AAAI 2026

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

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

SPEED-Q: Staged Processing with Enhanced Distillation Towards Efficient Low-Bit On-Device VLM Quantization AAAI 2026

Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning CVPR 2025

QSpec: Speculative Decoding with Complementary Quantization Schemes EMNLP 2025

Split Adaptation for Pre-trained Vision Transformers CVPR 2025

Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales CVPR 2025

QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models EMNLP 2025

Your Scale Factors are My Weapon: Targeted Bit-Flip Attacks on Vision Transformers via Scale Factor Manipulation CVPR 2025

Efficient On-Device Text Simplification for Firefox with Synthetic Data Fine-Tuning EMNLP 2025

Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels ICCV 2025

Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models ACL 2025

Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs ACL 2025

Understanding Flatness in Generative Models: Its Role and Benefits ICCV 2025

QuantCache: Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation ICCV 2025