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conftrace_

post-training quantization

178 papers

PTQ

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