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
Hardware for Machine Learning: Challenges and Opportunities Vivienne Sze Yu-hsin Chen Joel S. Einer Amr Suleiman Zhengdong Zhang 22 77 0 22 Dec 2016
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale F. Iandola 3DV 26 18 0 20 Dec 2016
Simple Black-Box Adversarial Perturbations for Deep Networks Nina Narodytska S. Kasiviswanathan AAML 19 236 0 19 Dec 2016
Boosting Neural Machine Translation Dakun Zhang Jungi Kim Josep Crego Jean Senellart AI4CE 23 26 0 19 Dec 2016
On the Potential of Simple Framewise Approaches to Piano Transcription Rainer Kelz Matthias Dorfer Filip Korzeniowski Sebastian Böck A. Arzt Gerhard Widmer 30 124 0 15 Dec 2016
A Fully Convolutional Deep Auditory Model for Musical Chord Recognition Filip Korzeniowski Gerhard Widmer 24 81 0 15 Dec 2016
Towards Score Following in Sheet Music Images Matthias Dorfer A. Arzt Gerhard Widmer 19 49 0 15 Dec 2016
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 56 697 0 14 Dec 2016
An empirical analysis of the optimization of deep network loss surfaces Daniel Jiwoong Im Michael Tao K. Branson ODL 35 61 0 13 Dec 2016
Generalized Deep Image to Image Regression Venkataraman Santhanam Vlad I. Morariu L. Davis 3DV 23 70 0 10 Dec 2016
Predicting Ground-Level Scene Layout from Aerial Imagery Menghua Zhai Zachary Bessinger Scott Workman Nathan Jacobs 41 222 0 08 Dec 2016
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker James H. Cole Rudra P. K. Poudel Dimosthenis Tsagkrasoulis M. Caan C. Steves T. Spector Giovanni Montana 18 690 0 08 Dec 2016
AGA: Attribute Guided Augmentation Mandar Dixit Roland Kwitt Marc Niethammer Nuno Vasconcelos GAN 28 100 0 08 Dec 2016
Large-Margin Softmax Loss for Convolutional Neural Networks Weiyang Liu Yandong Wen Zhiding Yu Meng Yang CVBM 21 1,451 0 07 Dec 2016
Learning Diverse Image Colorization Aditya Deshpande Jiajun Lu Mao-Chuang Yeh Min Jin Chong David A. Forsyth GAN 19 192 0 06 Dec 2016
Correlation Alignment for Unsupervised Domain Adaptation Baochen Sun Jiashi Feng Kate Saenko OOD 15 395 0 06 Dec 2016
Video Ladder Networks Francesco Cricri Xingyang Ni Mikko Honkala Emre B. Aksu Moncef Gabbouj 33 27 0 06 Dec 2016
ImageNet pre-trained models with batch normalization Marcel Simon E. Rodner Joachim Denzler VLM SSeg 44 165 0 05 Dec 2016
On-Demand Learning for Deep Image Restoration Ruohan Gao Kristen Grauman 29 78 0 05 Dec 2016
Deep Metric Learning via Facility Location Hyun Oh Song Stefanie Jegelka V. Rathod Kevin Patrick Murphy 27 23 0 05 Dec 2016
Trained Ternary Quantization Chenzhuo Zhu Song Han Huizi Mao W. Dally MQ 57 1,035 0 04 Dec 2016
End-to-end learning of brain tissue segmentation from imperfect labeling A. Fedorov Jeremy Johnson Eswar Damaraju Alexei Ozerin Vince D. Calhoun Sergey Plis MedIm 19 47 0 03 Dec 2016
Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks Daniel Levy Arzav Jain MedIm 13 206 0 02 Dec 2016
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference Yaman Umuroglu Nicholas J. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre K. Vissers MQ 53 977 0 01 Dec 2016
Video Captioning with Multi-Faceted Attention Xiang Long Chuang Gan Gerard de Melo 24 88 0 01 Dec 2016
Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts Levent Karacan Zeynep Akata Aykut Erdem Erkut Erdem GAN 36 186 0 01 Dec 2016
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification Anirban Santara Kaustubh Mani Pranoot Hatwar Ankit Singh Ankur Garg K. Padia Pabitra Mitra 35 135 0 01 Dec 2016
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation S. Jégou M. Drozdzal David Vazquez Adriana Romero Yoshua Bengio SSeg 46 1,573 0 28 Nov 2016
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection Sanghoon Hong Byungseok Roh Kye-Hyeon Kim Yeongjae Cheon Minje Park ObjD 23 82 0 23 Nov 2016
Max-Margin Deep Generative Models for (Semi-)Supervised Learning Chongxuan Li Jun Zhu Bo Zhang AI4CE 32 42 0 22 Nov 2016
Deep Temporal Linear Encoding Networks Ali Diba Vivek Sharma Luc Van Gool 21 227 0 21 Nov 2016
Object Recognition with and without Objects Zhuotun Zhu Lingxi Xie Alan Yuille OCL ObjD 35 81 0 20 Nov 2016
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis Yoseob Han J. Yoo J. C. Ye 32 203 0 19 Nov 2016
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification Woong Bae J. Yoo J. C. Ye SupR 24 177 0 19 Nov 2016
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks Xingcheng Zhang Zhizhong Li Chen Change Loy Dahua Lin MDE 32 259 0 17 Nov 2016
Factorized Bilinear Models for Image Recognition Yanghao Li Naiyan Wang Jiaying Liu Xiaodi Hou 19 96 0 17 Nov 2016
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer Xin Eric Wang Geoffrey Oxholm Da Zhang Yuan-fang Wang GAN OffRL 15 168 0 17 Nov 2016
On the Exploration of Convolutional Fusion Networks for Visual Recognition Y. Liu Yanming Guo M. Lew 30 23 0 16 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 300 10,225 0 16 Nov 2016
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification Y. Lu Abhishek Kumar Shuangfei Zhai Yu Cheng T. Javidi Rogerio Feris 3DH 21 384 0 16 Nov 2016
Learning long-term dependencies for action recognition with a biologically-inspired deep network Yemin Shi Yonghong Tian Yaowei Wang Tiejun Huang 29 63 0 16 Nov 2016
Learning a Deep Embedding Model for Zero-Shot Learning Li Zhang Tao Xiang S. Gong SyDa VLM 73 700 0 15 Nov 2016
One-to-Many Network for Visually Pleasing Compression Artifacts Reduction Jun Guo Hongyang Chao 42 89 0 15 Nov 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning Haoran Tang Rein Houthooft Davis Foote Adam Stooke Xi Chen Yan Duan John Schulman F. Turck Pieter Abbeel OffRL 48 760 0 15 Nov 2016
How to scale distributed deep learning? Peter H. Jin Qiaochu Yuan F. Iandola Kurt Keutzer 3DH 27 136 0 14 Nov 2016
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes Mengye Ren Renjie Liao R. Urtasun Fabian H. Sinz R. Zemel 35 81 0 14 Nov 2016
Identity Matters in Deep Learning Moritz Hardt Tengyu Ma OOD 25 398 0 14 Nov 2016
Disentangling factors of variation in deep representations using adversarial training Michaël Mathieu Jun Zhao Pablo Sprechmann Aditya A. Ramesh Yann LeCun DRL CML 53 489 0 10 Nov 2016
Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence Emilio Jorge Mikael Kågebäck Fredrik D. Johansson E. Gustavsson 34 67 0 10 Nov 2016
Ultimate tensorization: compressing convolutional and FC layers alike T. Garipov D. Podoprikhin Alexander Novikov Dmitry Vetrov 39 190 0 10 Nov 2016