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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 Semi-Supervised Anomaly Detection Lukas Ruff Robert A. Vandermeulen Nico Görnitz Alexander Binder Emmanuel Müller K. Müller Marius Kloft UQCV 68 549 0 06 Jun 2019
Seq-SetNet: Exploring Sequence Sets for Inferring Structures Fusong Ju Jianwei Zhu Guozheng Wei Qi Zhang Shiwei Sun Dongbo Bu 45 2 0 06 Jun 2019
Practical Deep Learning with Bayesian Principles Kazuki Osawa S. Swaroop Anirudh Jain Runa Eschenhagen Richard Turner Rio Yokota Mohammad Emtiyaz Khan BDL UQCV 167 247 0 06 Jun 2019
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets Devansh Arpit Victor Campos Yoshua Bengio 83 59 0 05 Jun 2019
Variational Pretraining for Semi-supervised Text Classification Suchin Gururangan T. Dang Dallas Card Noah A. Smith VLM 66 112 0 05 Jun 2019
Adaptation Across Extreme Variations using Unlabeled Domain Bridges Shuyang Dai Kihyuk Sohn Yi-Hsuan Tsai Lawrence Carin Manmohan Chandraker 76 12 0 05 Jun 2019
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization K. Helwegen James Widdicombe Lukas Geiger Zechun Liu K. Cheng Roeland Nusselder MQ 71 114 0 05 Jun 2019
Machine Learning and System Identification for Estimation in Physical Systems Fredrik Bagge Carlson OOD 54 5 0 05 Jun 2019
Efficient, Lexicon-Free OCR using Deep Learning Marcin Namysl I. Konya 3DV 36 35 0 05 Jun 2019
Farm land weed detection with region-based deep convolutional neural networks Mohammad Ibrahim Sarker Hyongsuk Kim 30 8 0 05 Jun 2019
OpenEI: An Open Framework for Edge Intelligence Xingzhou Zhang Yifan Wang Sidi Lu Liangkai Liu Lanyu Xu Weisong Shi 82 101 0 05 Jun 2019
Automated Classification of Seizures against Nonseizures: A Deep Learning Approach Xinghua Yao Q. Cheng Guoqiang Zhang 97 18 0 05 Jun 2019
An Introduction to Deep Morphological Networks Keiller Nogueira Jocelyn Chanussot M. Dalla Mura J. A. dos Santos 52 35 0 04 Jun 2019
DVDnet: A Fast Network for Deep Video Denoising Matias Tassano J. Delon T. Veit 79 135 0 04 Jun 2019
Nemesyst: A Hybrid Parallelism Deep Learning-Based Framework Applied for Internet of Things Enabled Food Retailing Refrigeration Systems George Onoufriou Ronald Bickerton Simon Pearson Georgios Leontidis GNN 65 25 0 04 Jun 2019
Automatic Health Problem Detection from Gait Videos Using Deep Neural Networks Rahil Mehrizi Xi Peng Shaoting Zhang Ruisong Liao Kang Li 63 12 0 04 Jun 2019
End-to-End Learning of Geometric Deformations of Feature Maps for Virtual Try-On Thibaut Issenhuth Jérémie Mary Clément Calauzènes 3DH 103 24 0 04 Jun 2019
A Novel Deep Neural Network Based Approach for Sparse Code Multiple Access Jinzhi Lin Shengzhong Feng Zhile Yang Yun Zhang Yong Zhang 81 33 0 04 Jun 2019
Learning Deep Image Priors for Blind Image Denoising Xianxu Hou Hongming Luo Jingxin Liu Bolei Xu Ke Sun Yuanhao Gong Bozhi Liu Guoping Qiu 80 7 0 04 Jun 2019
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem Chaitanya K. Joshi T. Laurent Xavier Bresson GNN 124 378 0 04 Jun 2019
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks Sanghyun Hong Pietro Frigo Yigitcan Kaya Cristiano Giuffrida Tudor Dumitras AAML 77 214 0 03 Jun 2019
Fashion Editing with Adversarial Parsing Learning Haoye Dong Xiaodan Liang Yixuan Zhang Xujie Zhang Zhenyu Xie Bowen Wu Ziqi Zhang Xiaohui Shen Jian Yin GAN 69 11 0 03 Jun 2019
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 63 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 68 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 94 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 104 136 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