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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
Data-driven Estimation of Sinusoid Frequencies Gautier Izacard S. Mohan C. Fernandez‐Granda 33 52 0 03 Jun 2019
One-Way Prototypical Networks Anna M. Kruspe VLM 103 14 0 03 Jun 2019
Achieving Generalizable Robustness of Deep Neural Networks by Stability Training Jan Laermann Wojciech Samek Nils Strodthoff OOD 68 15 0 03 Jun 2019
Deeply-supervised Knowledge Synergy Dawei Sun Anbang Yao Aojun Zhou Hao Zhao 54 15 0 03 Jun 2019
Panoptic Edge Detection Yuan Hu Yingtian Zou Jiashi Feng 136 9 0 03 Jun 2019
Discovering Neural Wirings Mitchell Wortsman Ali Farhadi Mohammad Rastegari AI4CE 122 121 0 03 Jun 2019
Rethinking Loss Design for Large-scale 3D Shape Retrieval Zhaoqun Li Cheng Xu B. Leng 3DV 3DPC 32 4 0 03 Jun 2019
Classification of Crop Tolerance to Heat and Drought: A Deep Convolutional Neural Networks Approach S. Khaki Zahra Khalilzadeh Lizhi Wang 99 32 0 02 Jun 2019
An Empirical Study on Hyperparameters and their Interdependence for RL Generalization Xingyou Song Yilun Du Jacob Jackson AI4CE 43 8 0 02 Jun 2019
GANchors: Realistic Image Perturbation Distributions for Anchors Using Generative Models Kurtis Evan David Harrison Keane Jun Min Noh 23 2 0 01 Jun 2019
A Semantic-based Medical Image Fusion Approach Fanda Fan Yunyou Huang Lei Wang Xingwang Xiong Zihan Jiang Zhifei Zhang Jianfeng Zhan MedIm 46 15 0 01 Jun 2019
Learning to Transfer: Unsupervised Meta Domain Translation Jianxin Lin Yijun Wang Tianyu He Zhibo Chen 105 8 0 01 Jun 2019
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge Kenneth Marino Mohammad Rastegari Ali Farhadi Roozbeh Mottaghi 192 1,095 0 31 May 2019
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction Ziniu Hu Changjun Fan Ting-Li Chen Kai-Wei Chang Yizhou Sun 63 44 0 31 May 2019
Partial Scanning Transmission Electron Microscopy with Deep Learning Jeffrey M. Ede R. Beanland MedIm 137 22 0 31 May 2019
Fast Solar Image Classification Using Deep Learning and its Importance for Automation in Solar Physics J. Armstrong L. Fletcher 47 34 0 31 May 2019
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection Changhee Han L. Rundo Ryosuke Araki Yudai Nagano Yujiro Furukawa G. Mauri Hideki Nakayama Hideaki Hayashi MedIm 66 162 0 31 May 2019
Point Clouds Learning with Attention-based Graph Convolution Networks Zhuyang Xie Junzhou Chen B. Peng 3DPC 109 54 0 31 May 2019
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1 Qigong Sun Fanhua Shang Kan Yang Xiufang Li Yan Ren L. Jiao MQ 70 12 0 31 May 2019
Residual Networks as Nonlinear Systems: Stability Analysis using Linearization Kai Rothauge Z. Yao Zixi Hu Michael W. Mahoney 51 2 0 31 May 2019
Deep Learning for Distributed Optimization: Applications to Wireless Resource Management Hoon Lee Sang Hyun Lee Tony Q.S. Quek 71 93 0 31 May 2019
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends Saptarshi Sengupta Sanchita Basak P. Saikia Sayak Paul Vasilios Tsalavoutis Frederick Ditliac Atiah V. Ravi R. Peters AI4CE 169 348 0 30 May 2019
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence Aditya Golatkar Alessandro Achille Stefano Soatto 82 97 0 30 May 2019
On Network Design Spaces for Visual Recognition Ilija Radosavovic Justin Johnson Saining Xie Wan-Yen Lo Piotr Dollár 99 136 0 30 May 2019
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures Michael S. Ryoo A. Piergiovanni Mingxing Tan A. Angelova 93 102 0 30 May 2019
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections R. Y. Rohekar Yaniv Gurwicz Shami Nisimov Gal Novik BDL UQCV 129 13 0 30 May 2019
Prostate Cancer Detection using Deep Convolutional Neural Networks Sunghwan Yoo Isha Gujrathi M. Haider Farzad Khalvati MedIm 70 184 0 30 May 2019
One-element Batch Training by Moving Window Przemysław Spurek Szymon Knop Jacek Tabor Igor T. Podolak B. Wójcik VLM 45 0 0 30 May 2019
Meta Dropout: Learning to Perturb Features for Generalization Haebeom Lee Taewook Nam Eunho Yang Sung Ju Hwang OOD 68 3 0 30 May 2019
Does computer vision matter for action? Brady Zhou Philipp Krahenbuhl V. Koltun LM&Ro 123 107 0 30 May 2019
Particle Filter Recurrent Neural Networks Xiao Ma Peter Karkus David Hsu Wee Sun Lee 97 83 0 30 May 2019
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification Bingzhe Wu Shiwan Zhao Guangyu Sun Xiaolu Zhang Zhong Su C. Zeng Zhihong Liu 70 41 0 30 May 2019
A survey of Object Classification and Detection based on 2D/3D data Xiaoke Shen 3DPC 59 26 0 29 May 2019
Deep-Learning-Based Audio-Visual Speech Enhancement in Presence of Lombard Effect Daniel Michelsanti Zheng-Hua Tan S. Sigurðsson Jesper Jensen 83 36 0 29 May 2019
Flat2Layout: Flat Representation for Estimating Layout of General Room Types Chi-Wei Hsiao Cheng Sun Min Sun Hwann-Tzong Chen 3DV 57 14 0 29 May 2019
Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets Rui Luo Qiang Zhang Yaodong Yang Jun Wang BDL 71 3 0 29 May 2019
Hierarchical Feature Aggregation Networks for Video Action Recognition Swathikiran Sudhakaran Sergio Escalera Oswald Lanz FAtt 49 8 0 29 May 2019
Complex-valued neural networks for machine learning on non-stationary physical data Jesper Sören Dramsch M. Lüthje Anders Christensen 80 36 0 29 May 2019
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT Philipp Seeböck J. Orlando T. Schlegl S. Waldstein Hrvoje Bogunović S. Klimscha Georg Langs U. Schmidt-Erfurth UQCV 130 138 0 29 May 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 133 1,420 0 29 May 2019
Vehicle Detection in Deep Learning Yao Xiao 37 3 0 29 May 2019
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks Haohan Wang Xindi Wu Pengcheng Yin Eric Xing 87 527 0 28 May 2019
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition Martin Mundt Iuliia Pliushch Sagnik Majumder Yongwon Hong Visvanathan Ramesh UQCV BDL 104 41 0 28 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 283 18,338 0 28 May 2019
Efficient Object Embedding for Spliced Image Retrieval Bor-Chun Chen Zuxuan Wu L. Davis Ser-Nam Lim 68 8 0 28 May 2019
Adaptive Region Embedding for Text Classification Liuyu Xiang Xiaoming Jin Lan Yi Guiguang Ding 63 9 0 28 May 2019
Putting An End to End-to-End: Gradient-Isolated Learning of Representations Sindy Löwe Peter O'Connor Bastiaan S. Veeling SSL 146 465 0 28 May 2019
A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation M. Kusumoto Takuya Inoue G. Watanabe Takuya Akiba Masanori Koyama 62 39 0 28 May 2019
EEG-based Emotional Video Classification via Learning Connectivity Structure Soobeom Jang Seong-Eun Moon Jong-Seok Lee 33 16 0 28 May 2019
Generative Parameter Sampler For Scalable Uncertainty Quantification Minsuk Shin Young Lee Jun S. Liu 55 0 0 28 May 2019