Co-occurring keywords · papers mentioning both
Papers
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing
WACV 2025
DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization
ICCV 2025
Fast and Low-Cost Genomic Foundation Models via Outlier Removal
ICML 2025
FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation
CVPR 2025
From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ
ICLR 2025
GenPTQ: Green Post-Training Quantization for Large-Scale ASR Models with Mixed-Precision Bit Allocation
EMNLP 2025
Grouped Sequency-arranged Rotation: Optimizing Rotation Transformation for Quantization for Free
ACL 2025
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
ICML 2025
KurTail : Kurtosis-based LLM Quantization
EMNLP 2025
L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
ACL 2025
LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid
ICLR 2025
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
NAACL 2025
MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods
ICLR 2025
MBQ: Modality-Balanced Quantization for Large Vision-Language Models
CVPR 2025
Mind the Gap: A Practical Attack on GGUF Quantization
ICML 2025
MLWQ: Efficient Small Language Model Deployment via Multi-Level Weight Quantization
EMNLP 2025
MPPQ: Enhancing Post-Training Quantization for LLMs via Mixed Supervision, Proxy Rounding, and Pre-Searching
IJCAI 2025
NestQuant: nested lattice quantization for matrix products and LLMs
ICML 2025
OAC: Output-adaptive Calibration for Accurate Post-training Quantization
AAAI 2025
On Quantizing Neural Representation for Variable-Rate Video Coding
ICLR 2025
Optimizing Neural Network Training and Quantization with Rooted Logistic Objectives
AISTATS 2025
OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting
ICLR 2025
OuroMamba: A Data-Free Quantization Framework for Vision Mamba
ICCV 2025
Outlier-Aware Post-Training Quantization for Discrete Graph Diffusion Models
ICML 2025
Outlier-Aware Post-Training Quantization for Image Super-Resolution
ICCV 2025