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Batch normalization has been widely used to improve optimization in deep neural networks.
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton · 2016
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Instance normalization: The missing ingredient for fast stylization
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Optimization as a model for few-shot learning
Sachin Ravi and Hugo Larochelle · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Automatic differentiation in PyTorch
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Systematic generalization: What is required and can it be learned?
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Group normalization
Yuxin Wu and Kaiming He · 2018
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Tadam: Task dependent adaptive metric for improved few-shot learning
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Spectral normalization for generative adversarial networks
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Learning to learn with conditional class dependencies
Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, and Stan Matwin · 2018
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Shane Barratt and Rishi Kant Sharma · 2018
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Batch normalization is a cause of adversarial vulnerability
Angus Galloway, Anna Golubeva, Thomas Tanay, Medhat Moussa, and Graham W Taylor · 2019
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Classification accuracy score for conditional generative models
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Fixup initialization: Residual learning without normalization
Hongyi Zhang, Yann N. Dauphin, and Tengyu Ma · 2019
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