post-training quantization

Rethinking Asymmetric Quantization: Hidden Symmetry in Vision Model Weights CVPR 2026 S2D: Selective Spectral Decay for Quantization-Friendly Conditioning of Neural Activations CVPR 2026 SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model AAAI 2026 SegQuant: A Semantics-Aware and Generalizable Quantization Framework for Diffusion Models CVPR 2026 Theory-optimal Quantization Based on Flatness ACL 2026 Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats ACL 2026 Unveiling AI Safety in Fine-tuning Quantized Model AAAI 2026 UQ-ViT: Harmonizing Extreme Activations with Hardware-Friendly Uniform Quantization in Vision Transformers AAAI 2026 VLM-PTQ: Efficient Post-Training Quantization for Large Vision-Language Models CVPR 2026 ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models AAAI 2025 Achieving binary weight and activation for LLMs using Post-Training Quantization ACL 2025 AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model ICCV 2025 AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers AAAI 2025 AMP-ViT: Optimizing Vision Transformer Efficiency with Adaptive Mixed-Precision Post-Training Quantization WACV 2025 APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers CVPR 2025 ARB-LLM: Alternating Refined Binarizations for Large Language Models ICLR 2025 ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization AAAI 2025 Beyond Dynamic Quantization: An Efficient Static Hierarchical Mix-precision Framework for Near-Lossless LLM Compression EMNLP 2025 BoA: Attention-aware Post-training Quantization without Backpropagation ICML 2025 Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation ICCV 2025 Can Post-Training Quantization Benefit from an Additional QLoRA Integration? NAACL 2025 CBQ: Cross-Block Quantization for Large Language Models ICLR 2025 D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models AAAI 2025 Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales CVPR 2025 Data Generation for Hardware-Friendly Post-Training Quantization WACV 2025