mixed precision

MultiQuant: Training Once for Multi-bit Quantization of Neural Networks IJCAI 2022 SDQ: Stochastic Differentiable Quantization with Mixed Precision ICML 2022 Automatic Mixed-Precision Quantization Search of BERT IJCAI 2021 BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization ICLR 2021 Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution ICML 2021 FracBits: Mixed Precision Quantization via Fractional Bit-Widths AAAI 2021 Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization ACML 2021 Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision AAAI 2021 RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions ICCV 2021 Bayesian Bits: Unifying Quantization and Pruning NeurIPS 2020 EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks ICLR 2020 Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation EMNLP 2020 Mixed Precision DNNs: All you need is a good parametrization ICLR 2020 Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs ICML 2020 HAQ: Hardware-Aware Automated Quantization With Mixed Precision CVPR 2019 Mixed Precision Training ICLR 2018