batch normalization

Improving robustness against common corruptions by covariate shift adaptation NeurIPS 2020 Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise AAAI 2020 Intriguing Properties of Adversarial Training at Scale ICLR 2020 Local Context Normalization: Revisiting Local Normalization CVPR 2020 MatchboxNet: 1D Time-Channel Separable Convolutional Neural Network Architecture for Speech Commands Recognition Interspeech 2020 Network Deconvolution ICLR 2020 New Interpretations of Normalization Methods in Deep Learning AAAI 2020 Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free NeurIPS 2020 Operation-Aware Soft Channel Pruning using Differentiable Masks ICML 2020 PowerNorm: Rethinking Batch Normalization in Transformers ICML 2020 Reconciling Modern Deep Learning with Traditional Optimization Analyses: The Intrinsic Learning Rate NeurIPS 2020 Regularizing activations in neural networks via distribution matching with the Wasserstein metric ICLR 2020 Scale-Equalizing Pyramid Convolution for Object Detection CVPR 2020 Stochastic Normalization NeurIPS 2020 TaskNorm: Rethinking Batch Normalization for Meta-Learning ICML 2020 The Break-Even Point on Optimization Trajectories of Deep Neural Networks ICLR 2020 The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent ICML 2020 The Knowledge Within: Methods for Data-Free Model Compression CVPR 2020 The Non-IID Data Quagmire of Decentralized Machine Learning ICML 2020 Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization ICLR 2020 Truth or backpropaganda? An empirical investigation of deep learning theory ICLR 2020 ZeroQ: A Novel Zero Shot Quantization Framework CVPR 2020 A Mean Field Theory of Batch Normalization ICLR 2019 An Investigation into Neural Net Optimization via Hessian Eigenvalue Density ICML 2019 A Quantitative Analysis of the Effect of Batch Normalization on Gradient Descent ICML 2019