post-training quantization

Channel Balancing for Accurate Quantization of Winograd Convolutions CVPR 2022 FP8 Quantization: The Power of the Exponent NeurIPS 2022 FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer IJCAI 2022 Leveraging Inter-Layer Dependency for Post -Training Quantization NeurIPS 2022 Mr.BiQ: Post-Training Non-Uniform Quantization Based on Minimizing the Reconstruction Error CVPR 2022 Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning NeurIPS 2022 Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models NeurIPS 2022 QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization ICLR 2022 RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization IJCAI 2022 Towards Efficient Post-training Quantization of Pre-trained Language Models NeurIPS 2022 ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers NeurIPS 2022 Accurate Post Training Quantization With Small Calibration Sets ICML 2021 BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction ICLR 2021 Diversifying Sample Generation for Accurate Data-Free Quantization CVPR 2021 Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization ACML 2021 Improving Neural Network Efficiency via Post-Training Quantization With Adaptive Floating-Point ICCV 2021 Mining Intelligent Patterns using SVAC for Precision Agriculture and Optimizing Irrigation (Student Abstract) AAAI 2021 Post-Training Quantization for Vision Transformer NeurIPS 2021 Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision AAAI 2021 Post-Training Sparsity-Aware Quantization NeurIPS 2021 QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks CVPR 2021 Understanding and Overcoming the Challenges of Efficient Transformer Quantization EMNLP 2021 AdaBits: Neural Network Quantization With Adaptive Bit-Widths CVPR 2020 DFQF: Data Free Quantization-aware Fine-tuning ACML 2020 Gradient ℓ_1 Regularization for Quantization Robustness ICLR 2020