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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
Deep Image Homography Estimation Daniel DeTone Tomasz Malisiewicz Andrew Rabinovich 59 442 0 13 Jun 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 174 4,243 0 12 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 488 9,081 0 10 Jun 2016
Deep Directed Generative Models with Energy-Based Probability Estimation Taesup Kim Yoshua Bengio GAN 87 4 0 10 Jun 2016
Convolutional Neural Fabrics Shreyas Saxena Jakob Verbeek 90 226 0 08 Jun 2016
Structured Convolution Matrices for Energy-efficient Deep learning R. Appuswamy T. Nayak John V. Arthur S. K. Esser P. Merolla J. McKinstry T. Melano M. Flickner D. Modha 53 11 0 08 Jun 2016
Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation Petteri Teikari Marc A. Santos Charissa Poon K. Hynynen 3DV 93 48 0 08 Jun 2016
SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks Arunkumar Byravan Dieter Fox 3DPC 84 269 0 08 Jun 2016
Systematic evaluation of CNN advances on the ImageNet Dmytro Mishkin N. Sergievskiy Jirí Matas FAtt 54 125 0 07 Jun 2016
Towards a Neural Statistician Harrison Edwards Amos Storkey BDL 107 427 0 07 Jun 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 330 2,085 0 07 Jun 2016
Deep neural networks are robust to weight binarization and other non-linear distortions P. Merolla R. Appuswamy John V. Arthur S. K. Esser D. Modha OOD MQ 94 96 0 07 Jun 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 323 1,956 0 06 Jun 2016
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui Dong Huk Park Daylen Yang Anna Rohrbach Trevor Darrell Marcus Rohrbach 332 1,470 0 06 Jun 2016
Very Deep Convolutional Networks for Text Classification Alexis Conneau Holger Schwenk Loïc Barrault Yann LeCun AI4CE 100 320 0 06 Jun 2016
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification Xilun Chen Yu Sun Ben Athiwaratkun Claire Cardie Kilian Q. Weinberger 307 316 0 06 Jun 2016
Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid Architecture for Person Re-identification Lin Wu Chunhua Shen Anton Van Den Hengel 82 209 0 06 Jun 2016
Deep Q-Networks for Accelerating the Training of Deep Neural Networks Jie Fu AI4CE 113 11 0 05 Jun 2016
Multimodal Residual Learning for Visual QA Jin-Hwa Kim Sang-Woo Lee Donghyun Kwak Min-Oh Heo Jeonghee Kim Jung-Woo Ha Byoung-Tak Zhang 73 301 0 05 Jun 2016
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network Jared Katzman Uri Shaham Jonathan Bates A. Cloninger Tingting Jiang Y. Kluger BDL CML OOD 502 1,269 0 02 Jun 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 99 1,315 0 02 Jun 2016
Deeper Depth Prediction with Fully Convolutional Residual Networks Iro Laina Christian Rupprecht Vasileios Belagiannis Federico Tombari Nassir Navab 3DV MDE 419 1,834 0 01 Jun 2016
Improving Deep Neural Network with Multiple Parametric Exponential Linear Units Yang Li Chunxiao Fan Yong Li Qiong Wu Yue Ming 73 83 0 01 Jun 2016
Automatic tagging using deep convolutional neural networks Keunwoo Choi Gyorgy Fazekas Mark Sandler 182 1 0 01 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 100 142 0 31 May 2016
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks Ludovic Trottier Philippe Giguère B. Chaib-draa 90 200 0 30 May 2016
Density estimation using Real NVP Falong Shen Jascha Sohl-Dickstein Gang Zeng DRL 102 3,727 0 27 May 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 436 18,361 0 27 May 2016
Robust Large Margin Deep Neural Networks Jure Sokolić Raja Giryes Guillermo Sapiro M. Rodrigues 86 309 0 26 May 2016
Discovering Causal Signals in Images David Lopez-Paz Robert Nishihara Soumith Chintala Bernhard Schölkopf Léon Bottou CML 60 226 0 26 May 2016
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning Soravit Changpinyo Wei-Lun Chao Fei Sha VLM 109 177 0 26 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 277 78 0 26 May 2016
Deeply-Fused Nets Jingdong Wang Zhen Wei Ting Zhang Wenjun Zeng FedML 192 98 0 25 May 2016
FractalNet: Ultra-Deep Neural Networks without Residuals Gustav Larsson Michael Maire Gregory Shakhnarovich 170 941 0 24 May 2016
Genetic Architect: Discovering Genomic Structure with Learned Neural Architectures Laura Deming S. Targ Nate Sauder Diogo Almeida Chun Jimmie Ye GNN 50 14 0 23 May 2016
Backprop KF: Learning Discriminative Deterministic State Estimators Tuomas Haarnoja Anurag Ajay Sergey Levine Pieter Abbeel 73 201 0 23 May 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 368 8,008 0 23 May 2016
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter AI4CE 98 12 0 23 May 2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Yannis Assael Nando de Freitas Shimon Whiteson 168 1,615 0 21 May 2016
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups Yani Andrew Ioannou D. Robertson R. Cipolla A. Criminisi 97 266 0 20 May 2016
Swapout: Learning an ensemble of deep architectures Saurabh Singh Derek Hoiem David A. Forsyth BDL 3DPC OOD UQCV 71 150 0 20 May 2016
Learning shape correspondence with anisotropic convolutional neural networks Davide Boscaini Jonathan Masci Emanuele Rodolà M. Bronstein 3DPC 195 511 0 20 May 2016
Residual Networks Behave Like Ensembles of Relatively Shallow Networks Andreas Veit Michael J. Wilber Serge J. Belongie UQCV 91 107 0 20 May 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks Philipp Gysel 90 127 0 20 May 2016
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA Aapo Hyvarinen H. Morioka CML OOD AI4TS 79 410 0 20 May 2016
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks Julien Mairal SSL 79 131 0 20 May 2016
FPNN: Field Probing Neural Networks for 3D Data Yangyan Li Soren Pirk Hao Su C. Qi Leonidas Guibas 3DPC 99 290 0 20 May 2016
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition Xiao-Chang Liu Jiang Wang Shilei Wen Errui Ding Yuanqing Lin 42 78 0 20 May 2016
Matching Handwritten Document Images Praveen Krishnan C. V. Jawahar 51 56 0 19 May 2016
Generative Adversarial Text to Image Synthesis Scott E. Reed Zeynep Akata Xinchen Yan Lajanugen Logeswaran Bernt Schiele Honglak Lee GAN 211 3,152 0 17 May 2016