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

11 February 2015

Sergey Ioffe

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

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Title
VoxCeleb: a large-scale speaker identification dataset Arsha Nagrani Joon Son Chung Andrew Zisserman 6 2,247 0 26 Jun 2017
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction Chen-Hsuan Lin Chen Kong Simon Lucey 3DV 32 421 0 21 Jun 2017
Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition V. Iglovikov Sergey Mushinskiy V. Osin 35 167 0 19 Jun 2017
L2 Regularization versus Batch and Weight Normalization Twan van Laarhoven 8 292 0 16 Jun 2017
Self-ensembling for visual domain adaptation Geoffrey French Michal Mackiewicz M. Fisher 16 44 0 16 Jun 2017
Variational Approaches for Auto-Encoding Generative Adversarial Networks Mihaela Rosca Balaji Lakshminarayanan David Warde-Farley S. Mohamed DRL GAN 25 263 0 15 Jun 2017
FreezeOut: Accelerate Training by Progressively Freezing Layers Andrew Brock Theodore Lim J. Ritchie Nick Weston 19 123 0 15 Jun 2017
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation L. Yang Yizhe Zhang Jianxu Chen Siyuan Zhang Danny Chen MedIm 33 503 0 15 Jun 2017
Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations Weinan E Jiequn Han Arnulf Jentzen 13 780 0 15 Jun 2017
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation Abhishek Chaurasia Eugenio Culurciello SSeg 18 1,361 0 14 Jun 2017
von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification Abul Hasnat Julien Bohné Jonathan Milgram S. Gentric Liming Chen CVBM 42 91 0 13 Jun 2017
Point Linking Network for Object Detection Xinggang Wang Kaibing Chen Zilong Huang Cong Yao Wenyu Liu ObjD 26 31 0 12 Jun 2017
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model Xingjian Shi Zhihan Gao Leonard Lausen Hao Wang Dit-Yan Yeung W. Wong W. Woo 25 791 0 12 Jun 2017
Self-Normalizing Neural Networks G. Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter 79 2,483 0 08 Jun 2017
CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks M. Mustafa Deborah Bard W. Bhimji Z. Lukić Rami Al-Rfou J. Kratochvil GAN 19 123 0 07 Jun 2017
Synthesizing Filamentary Structured Images with GANs He Zhao Huiqi Li Li Cheng GAN MedIm 30 26 0 07 Jun 2017
Stacked Convolutional and Recurrent Neural Networks for Music Emotion Recognition Miroslav Malik Sharath Adavanne K. Drossos Tuomas Virtanen D. Ticha R. Jarina 18 62 0 07 Jun 2017
Stacked Convolutional and Recurrent Neural Networks for Bird Audio Detection Sharath Adavanne K. Drossos Emre Çakir Tuomas Virtanen 13 60 0 07 Jun 2017
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks Gerda Bortsova Gijs van Tulder Florian Dubost Tingying Peng Nassir Navab A. van der Lugt D. Bos Marleen de Bruijne 26 15 0 04 Jun 2017
Hyperparameter Optimization: A Spectral Approach Elad Hazan Adam R. Klivans Yang Yuan 27 118 0 02 Jun 2017
Towards Robust Detection of Adversarial Examples Tianyu Pang Chao Du Yinpeng Dong Jun Zhu AAML 31 18 0 02 Jun 2017
SAR Image Despeckling Using a Convolutional Neural Network Puyang Wang He Zhang Vishal M. Patel 13 318 0 02 Jun 2017
PixelGAN Autoencoders Alireza Makhzani Brendan J. Frey GAN 32 100 0 02 Jun 2017
Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks T. T. Um Franz MJ Pfister Daniel C. Pichler Satoshi Endo Muriel Lang Sandra Hirche U. Fietzek Dana Kulić 33 671 0 02 Jun 2017
Discriminative k-shot learning using probabilistic models Matthias Bauer Mateo Rojas-Carulla J. Swiatkowski Bernhard Schölkopf Richard Turner VLM 20 71 0 01 Jun 2017
Superhuman Accuracy on the SNEMI3D Connectomics Challenge Kisuk Lee J. Zung Peter H. Li Viren Jain H. S. Seung 3DV 17 266 0 31 May 2017
3D Mesh Segmentation via Multi-branch 1D Convolutional Neural Networks D. George Xianghua Xie G. Tam 3DV 3DPC 24 42 0 31 May 2017
ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting, Violent Behaviour Detection and Crowd Density Level Classification Mark A Marsden Kevin McGuinness Suzanne Little Noel E. O'Connor 22 116 0 30 May 2017
Deep Complex Networks C. Trabelsi O. Bilaniuk Ying Zhang Dmitriy Serdyuk Sandeep Subramanian J. F. Santos Soroush Mehri Negar Rostamzadeh Yoshua Bengio C. Pal 39 824 0 27 May 2017
Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks Russell Bates B. Irving B. Markelc Jakob Kaeppler R. Muschel Vicente Grau J. Schnabel MedIm 17 20 0 26 May 2017
Enhancement of SSD by concatenating feature maps for object detection Jisoo Jeong Hyojin Park Nojun Kwak ObjD 24 317 0 26 May 2017
Multimodal Machine Learning: A Survey and Taxonomy T. Baltrušaitis Chaitanya Ahuja Louis-Philippe Morency 15 2,865 0 26 May 2017
Cross-Domain Perceptual Reward Functions Ashley D. Edwards Srijan Sood Charles Isbell 27 7 0 25 May 2017
Deep Voice 2: Multi-Speaker Neural Text-to-Speech Sercan Ö. Arik G. Diamos Andrew Gibiansky John Miller Kainan Peng Ming-Yu Liu Jonathan Raiman Yanqi Zhou 19 494 0 24 May 2017
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models Aditya Grover Manik Dhar Stefano Ermon GAN 39 24 0 24 May 2017
Train longer, generalize better: closing the generalization gap in large batch training of neural networks Elad Hoffer Itay Hubara Daniel Soudry ODL 41 792 0 24 May 2017
Diminishing Batch Normalization Yintai Ma Diego Klabjan 31 15 0 22 May 2017
Facial Affect Estimation in the Wild Using Deep Residual and Convolutional Networks Behzad Hassani Mohammad H. Mahoor CVBM 24 24 0 22 May 2017
DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable Channels Paul Guerrero H. Winnemöller Wilmot Li Niloy J. Mitra MDE 19 7 0 22 May 2017
Regularizing deep networks using efficient layerwise adversarial training S. Sankaranarayanan Arpit Jain Rama Chellappa Ser Nam Lim AAML 22 96 0 22 May 2017
Incorporating Depth into both CNN and CRF for Indoor Semantic Segmentation Jindong Jiang Zhijun Zhang Yongqian Huang Lunan Zheng 45 28 0 21 May 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 34 1,842 0 20 May 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 65 2,699 0 19 May 2017
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation Lei Cai Hongyang Gao Shuiwang Ji 25 68 0 19 May 2017
Deep De-Aliasing for Fast Compressive Sensing MRI Simiao Yu Hao Dong Guang Yang Greg Slabaugh Pier Luigi Dragotti ... Fangde Liu Simon Arridge J. Keegan D. Firmin Yike Guo MedIm OOD 29 58 0 19 May 2017
The Kinetics Human Action Video Dataset W. Kay João Carreira Karen Simonyan Brian Zhang Chloe Hillier ... Tim Green T. Back Apostol Natsev Mustafa Suleyman Andrew Zisserman 44 3,756 0 19 May 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems Kexin Pei Yinzhi Cao Junfeng Yang Suman Jana AAML 48 1,352 0 18 May 2017
Learning Features for Offline Handwritten Signature Verification using Deep Convolutional Neural Networks L. G. Hafemann R. Sabourin Luiz Eduardo Soares de Oliveira 27 304 0 16 May 2017
Reducing Bias in Production Speech Models Eric Battenberg R. Child Adam Coates Christopher Fougner Yashesh Gaur ... Vinay Rao S. Satheesh David Seetapun Anuroop Sriram Zhenyao Zhu 38 10 0 11 May 2017
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising Dufan Wu Kyungsang Kim G. El Fakhri Quanzheng Li MedIm OOD 26 65 0 11 May 2017