model quantization

FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary ICLR 2020 Fully Quantized Transformer for Machine Translation EMNLP 2020 HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks NeurIPS 2020 High Performance Natural Language Processing EMNLP 2020 Position-based Scaled Gradient for Model Quantization and Pruning NeurIPS 2020 Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT AAAI 2020 Quantization Aware Training with Absolute-Cosine Regularization for Automatic Speech Recognition Interspeech 2020 Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks ICLR 2020 Soft Threshold Ternary Networks IJCAI 2020 Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition Interspeech 2020 TernaryBERT: Distillation-aware Ultra-low Bit BERT EMNLP 2020 Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations AAAI 2020 Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020 Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning COLING 2020 Towards Fully 8-bit Integer Inference for the Transformer Model IJCAI 2020 VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition Interspeech 2020 ZeroQ: A Novel Zero Shot Quantization Framework CVPR 2020 Bayesian Optimized 1-Bit CNNs ICCV 2019 Compression of Acoustic Event Detection Models with Quantized Distillation Interspeech 2019 Data-Free Quantization Through Weight Equalization and Bias Correction ICCV 2019 DiffChaser: Detecting Disagreements for Deep Neural Networks IJCAI 2019 DSConv: Efficient Convolution Operator ICCV 2019 Focused Quantization for Sparse CNNs NeurIPS 2019 HAQ: Hardware-Aware Automated Quantization With Mixed Precision CVPR 2019 Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks NeurIPS 2019