Normalization

What is the Effect of Importance Weighting in Deep Learning? ICML 2019 Whitening and Coloring Batch Transform for GANs ICLR 2019 Adaptive Dropout with Rademacher Complexity Regularization ICLR 2018 A Deeper Look at Power Normalizations CVPR 2018 Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks NeurIPS 2018 Batch Normalized Deep Boltzmann Machines ACML 2018 Bayesian Uncertainty Estimation for Batch Normalized Deep Networks ICML 2018 Decorrelated Batch Normalization CVPR 2018 Deep Complex Networks ICLR 2018 DropBlock: A regularization method for convolutional networks NeurIPS 2018 Dropout as a Low-Rank Regularizer for Matrix Factorization AISTATS 2018 Hierarchical neural model with attention mechanisms for the classification of social media text related to mental health NAACL 2018 How Does Batch Normalization Help Optimization? NeurIPS 2018 Improving Deep Neural Network Sparsity through Decorrelation Regularization IJCAI 2018 Inference-Invariant Transformation of Batch Normalization for Domain Adaptation of Acoustic Models Interspeech 2018 In-Place Activated BatchNorm for Memory-Optimized Training of DNNs CVPR 2018 Investigation on the Combination of Batch Normalization and Dropout in BLSTM-based Acoustic Modeling for ASR Interspeech 2018 Kalman Normalization: Normalizing Internal Representations Across Network Layers NeurIPS 2018 mixup: Beyond Empirical Risk Minimization ICLR 2018 NL-FIIT at IEST-2018: Emotion Recognition utilizing Neural Networks and Multi-level Preprocessing EMNLP 2018 Norm matters: efficient and accurate normalization schemes in deep networks NeurIPS 2018 On the Implicit Bias of Dropout ICML 2018 On the importance of single directions for generalization ICLR 2018 On the Local Hessian in Back-propagation NeurIPS 2018 Regularizing by the Variance of the Activations' Sample-Variances NeurIPS 2018