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Normalization

341 directly classified papers

Papers per year

Papers

Annealed f-Smoothing as a Mechanism to Speed up Neural Network Training INTERSPEECH 2017
Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming Network NIPS 2017
Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis CVPR 2017
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice NIPS 2017
Learning Deep Architectures via Generalized Whitened Neural Networks ICML 2017
Self-Normalizing Neural Networks NIPS 2017
Deep Hyperspherical Learning NIPS 2017
Improved Dropout for Shallow and Deep Learning NIPS 2016
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units ICML 2016
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks ICML 2016
Dropout distillation ICML 2016
Recurrent Dropout without Memory Loss COLING 2016
Regularization of Neural Networks using DropConnect ICML 2013
Adaptive dropout for training deep neural networks NIPS 2013
Deep Learning Made Easier by Linear Transformations in Perceptrons AISTATS 2012
Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform NIPS 2010