network quantization

Quantization without Tears CVPR 2025 Text Embedding Knows How to Quantize Text-Guided Diffusion Models ICCV 2025 Towards Lossless Implicit Neural Representation via Bit Plane Decomposition CVPR 2025 Zero-shot Quantization: A Comprehensive Survey IJCAI 2025 Are Conventional SNNs Really Efficient? A Perspective from Network Quantization CVPR 2024 Binarized Spectral Compressive Imaging NeurIPS 2023 Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis CVPR 2023 Causal-DFQ: Causality Guided Data-Free Network Quantization ICCV 2023 Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training ICCV 2023 Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping AAAI 2023 OMPQ: Orthogonal Mixed Precision Quantization AAAI 2023 Quantized Feature Distillation for Network Quantization AAAI 2023 TexQ: Zero-shot Network Quantization with Texture Feature Distribution Calibration NeurIPS 2023 AdaSTE: An Adaptive Straight-Through Estimator To Train Binary Neural Networks CVPR 2022 Data-Free Network Compression via Parametric Non-Uniform Mixed Precision Quantization CVPR 2022 F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization ICLR 2022 FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer IJCAI 2022 IntraQ: Learning Synthetic Images With Intra-Class Heterogeneity for Zero-Shot Network Quantization CVPR 2022 Towards Efficient Post-training Quantization of Pre-trained Language Models NeurIPS 2022 AQD: Towards Accurate Quantized Object Detection CVPR 2021 A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness NeurIPS 2021 Cluster-Promoting Quantization With Bit-Drop for Minimizing Network Quantization Loss ICCV 2021 Distance-Aware Quantization ICCV 2021 Dynamic Network Quantization for Efficient Video Inference ICCV 2021 Hardware-friendly Deep Learning by Network Quantization and Binarization IJCAI 2021