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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

11 February 2015

Sergey Ioffe

Christian Szegedy

OOD

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Papers citing "Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift"

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Title
Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images Ying Da Wang Mehdi Shabaninejad R. Armstrong P. Mostaghimi 3DV 48 19 0 13 Feb 2020
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Estimating Uncertainty Intervals from Collaborating Networks Tianhui Zhou Yitong Li Yuan Wu David Carlson UQCV 177 17 0 12 Feb 2020
Real or Not Real, that is the Question Yuanbo Xiangli Yubin Deng Bo Dai Chen Change Loy Dahua Lin GAN 135 47 0 12 Feb 2020
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Robustness analytics to data heterogeneity in edge computing Jia Qian Lars Kai Hansen Xenofon Fafoutis Prayag Tiwari Hari Mohan Pandey FedML 58 5 0 12 Feb 2020
Deep-HR: Fast Heart Rate Estimation from Face Video Under Realistic Conditions Mohammad Sabokrou M. PourReza Xiaobai Li M. Fathy Guoying Zhao 3DH CVBM 107 42 0 12 Feb 2020
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Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 113 505 0 12 Feb 2020
fastai: A Layered API for Deep Learning Jeremy Howard Sylvain Gugger AI4CE 137 873 0 11 Feb 2020
A study of local optima for learning feature interactions using neural networks Yangzi Guo Adrian Barbu 115 1 0 11 Feb 2020
Regularized Evolutionary Population-Based Training J. Liang Santiago Gonzalez Hormoz Shahrzad Risto Miikkulainen 60 9 0 11 Feb 2020
Can Graph Neural Networks Count Substructures? Zhengdao Chen Lei Chen Soledad Villar Joan Bruna GNN 157 331 0 10 Feb 2020
Improving Deep Learning For Airbnb Search Malay Haldar Mustafa Abdool Prashant Ramanathan Tyler Sax Lanbo Zhang Aamir Mansawala Shulin Yang B. Turnbull Junshuo Liao 77 40 0 10 Feb 2020
Large-Scale Gradient-Free Deep Learning with Recursive Local Representation Alignment Alexander Ororbia A. Mali Daniel Kifer C. Lee Giles 156 2 0 10 Feb 2020
Learning End-to-End Lossy Image Compression: A Benchmark Yueyu Hu Wenhan Yang Zhan Ma Jiaying Liu 129 166 0 10 Feb 2020
Knowledge Distillation for Brain Tumor Segmentation Dmitrii Lachinov E. Shipunova Vadim Turlapov 50 16 0 10 Feb 2020
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning Yu Yao Tongliang Liu Bo Han Biwei Huang Gang Niu Masashi Sugiyama Dacheng Tao 85 18 0 10 Feb 2020
How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalise to rare congenital heart diseases for surgical planning? Sven Koehler A. Tandon T. Hussain H. Latus T. Pickardt S. Sarikouch P. Beerbaum G. Greil Sandy Engelhardt I. Wolf 54 6 0 10 Feb 2020
Understanding and Improving Knowledge Distillation Jiaxi Tang Rakesh Shivanna Zhe Zhao Dong Lin Anima Singh Ed H. Chi Sagar Jain 110 134 0 10 Feb 2020
On the distance between two neural networks and the stability of learning Jeremy Bernstein Arash Vahdat Yisong Yue Xuan Li ODL 284 59 0 09 Feb 2020
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data Quande Liu Qi Dou Lequan Yu Pheng Ann Heng OOD 132 288 0 09 Feb 2020
Dynamic Inference: A New Approach Toward Efficient Video Action Recognition Wenhao Wu Dongliang He Xiao Tan Shifeng Chen Yi Yang Shilei Wen 86 35 0 09 Feb 2020
Learning Implicit Generative Models with Theoretical Guarantees Yuan Gao Jian Huang Yuling Jiao Jin Liu 66 7 0 07 Feb 2020
Unsupervised pretraining transfers well across languages M. Rivière Armand Joulin Pierre-Emmanuel Mazaré Emmanuel Dupoux SSL VLM 78 209 0 07 Feb 2020
Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach Jiequn Han Jianfeng Lu Mo Zhou DiffM 86 87 0 07 Feb 2020
Continuous Geodesic Convolutions for Learning on 3D Shapes Zhangsihao Yang Or Litany Tolga Birdal Srinath Sridhar Leonidas Guibas 3DH 3DPC 3DV 67 30 0 06 Feb 2020
Residual-Recursion Autoencoder for Shape Illustration Images Q. Zhou Peng Tao Xiaoxin Li Shengyong Chen Fan Zhang Haigen Hu 18 1 0 06 Feb 2020
Concept Whitening for Interpretable Image Recognition Zhi Chen Yijie Bei Cynthia Rudin FAtt 115 323 0 05 Feb 2020
Solving Raven's Progressive Matrices with Neural Networks Tao Zhuo Mohan S. Kankanhalli 105 26 0 05 Feb 2020
Fine-Grained Urban Flow Inference Kun Ouyang Yuxuan Liang Ye Liu Zekun Tong Sijie Ruan Yu Zheng David S. Rosenblum 71 48 0 05 Feb 2020
A Deep Conditioning Treatment of Neural Networks Naman Agarwal Pranjal Awasthi Satyen Kale AI4CE 121 16 0 04 Feb 2020
Self-Directed Online Machine Learning for Topology Optimization Changyu Deng Yizhou Wang Can Qin Yun Fu Wei Lu AI4CE 113 76 0 04 Feb 2020
Graph Representation Learning via Graphical Mutual Information Maximization Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Tingyang Xu Junzhou Huang SSL 170 588 0 04 Feb 2020
Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception M. Islam Peigen Luo Junaed Sattar 79 194 0 04 Feb 2020
On Positive-Unlabeled Classification in GAN Tianyu Guo Chang Xu Jiajun Huang Yunhe Wang Boxin Shi Chao Xu Dacheng Tao GAN 64 35 0 04 Feb 2020
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform Jun Li Fuxin Li S. Todorovic 92 107 0 04 Feb 2020
Deep Self-Supervised Representation Learning for Free-Hand Sketch Peng Xu Zeyu Song Qiyue Yin Yi-Zhe Song Liang Wang SSL 96 41 0 03 Feb 2020
Towards High Performance Human Keypoint Detection Jing Zhang Zhe Chen Dacheng Tao 3DH 149 74 0 03 Feb 2020
Automatic Pruning for Quantized Neural Networks Luis Guerra Bohan Zhuang Ian Reid Tom Drummond MQ 46 21 0 03 Feb 2020
Sound Event Detection with Depthwise Separable and Dilated Convolutions Konstantinos Drossos S. I. Mimilakis Shayan Gharib Yanxiong Li Tuomas Virtanen 76 39 0 02 Feb 2020
Large Hole Image Inpainting With Compress-Decompression Network Zhenghang Wu Yidong Cui GAN 13 0 0 01 Feb 2020
Better Compression with Deep Pre-Editing Hossein Talebi D. Kelly Xiyang Luo Ignacio Garcia Dorado Feng Yang P. Milanfar Michael Elad 106 24 0 01 Feb 2020
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem J. Hofmanninger F. Prayer Jeanny Pan Sebastian Rohrich H. Prosch Georg Langs 91 46 0 31 Jan 2020
Point Spread Function Modelling for Wide Field Small Aperture Telescopes with a Denoising Autoencoder P. Jia Xiyu Li Zhengyang Li Weinan Wang Dongmei Cai 40 21 0 31 Jan 2020
A study on the role of subsidiary information in replay attack spoofing detection Jee-weon Jung Hye-jin Shim Hee-Soo Heo Ha-Jin Yu 66 3 0 31 Jan 2020
Modality Compensation Network: Cross-Modal Adaptation for Action Recognition Sijie Song Jiaying Liu Yanghao Li Zongming Guo 71 46 0 31 Jan 2020
Search for Better Students to Learn Distilled Knowledge Jindong Gu Volker Tresp 52 19 0 30 Jan 2020