network quantization

Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution CVPR 2021 MeliusNet: An Improved Network Architecture for Binary Neural Networks WACV 2021 Network Quantization With Element-Wise Gradient Scaling CVPR 2021 Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks CVPR 2021 WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic ICLR 2021 AutoQ: Automated Kernel-Wise Neural Network Quantization ICLR 2020 Gradient ℓ_1 Regularization for Quantization Robustness ICLR 2020 Towards Accurate Post-training Network Quantization via Bit-Split and Stitching ICML 2020 Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation CVPR 2019 Composite Binary Decomposition Networks AAAI 2019 Enhanced Bayesian Compression via Deep Reinforcement Learning CVPR 2019 Deep Learning as a Mixed Convex-Combinatorial Optimization Problem ICLR 2018 Analytical Guarantees on Numerical Precision of Deep Neural Networks ICML 2017 Deep Learning With Low Precision by Half-Wave Gaussian Quantization CVPR 2017 Fixed-Point Factorized Networks CVPR 2017 Towards Accurate Binary Convolutional Neural Network NeurIPS 2017 BinaryConnect: Training Deep Neural Networks with binary weights during propagations NeurIPS 2015