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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
From Here to There: Video Inbetweening Using Direct 3D Convolutions Yunpeng Li Dominik Roblek Marco Tagliasacchi VGen 70 24 0 24 May 2019
Robustness to Adversarial Perturbations in Learning from Incomplete Data Amir Najafi S. Maeda Masanori Koyama Takeru Miyato OOD 92 131 0 24 May 2019
Specialized Decision Surface and Disentangled Feature for Weakly-Supervised Polyphonic Sound Event Detection Liwei Lin Xiangdong Wang Hong Liu Yueliang Qian 70 42 0 24 May 2019
FSD: Feature Skyscraper Detector for Stem End and Blossom End of Navel Orange Xiaoye Sun Gongyang Li Shaoyun Xu 50 3 0 24 May 2019
EnsembleNet: End-to-End Optimization of Multi-headed Models Hanhan Li Joe Yue-Hei Ng Apostol Natsev 57 16 0 24 May 2019
Precipitation Nowcasting with Satellite Imagery V. Lebedev V. Ivashkin Irina Rudenko A. Ganshin A. Molchanov Sergey Ovcharenko Ruslan Grokhovetskiy Ivan Bushmarinov D. Solomentsev AI4Cl 81 71 0 23 May 2019
Multi-Sample Dropout for Accelerated Training and Better Generalization H. Inoue 106 69 0 23 May 2019
Speech2Face: Learning the Face Behind a Voice Tae-Hyun Oh Tali Dekel Changil Kim Inbar Mosseri William T. Freeman Michael Rubinstein Wojciech Matusik SSL CVBM 112 165 0 23 May 2019
Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories Chaoyun Zhang M. Fiore P. Patras AI4TS 76 31 0 23 May 2019
Network Pruning via Transformable Architecture Search Xuanyi Dong Yi Yang 3DPC 81 243 0 23 May 2019
Decentralized Learning of Generative Adversarial Networks from Non-iid Data Ryo Yonetani Tomohiro Takahashi Atsushi Hashimoto Yoshitaka Ushiku 92 24 0 23 May 2019
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks Xiang Li Xiaolin Hu Jian Yang 93 196 0 23 May 2019
Tucker Decomposition Network: Expressive Power and Comparison Ye Liu Junjun Pan Michael K. Ng 31 1 0 23 May 2019
Improving Neural Networks by Adopting Amplifying and Attenuating Neurons Seongmun Jung O. Kwon 23 0 0 23 May 2019
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network Oscar Chang Yuling Yao David Williams-King Hod Lipson BDL UQCV 71 8 0 23 May 2019
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration Nicholas Watters Loic Matthey Matko Bosnjak Christopher P. Burgess Alexander Lerchner OffRL 120 118 0 22 May 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding Olivier J. Hénaff A. Srinivas J. Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aaron van den Oord SSL 198 1,437 0 22 May 2019
Fine-grained Optimization of Deep Neural Networks Mete Ozay ODL 59 2 0 22 May 2019
What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention Antonino Furnari G. Farinella EgoV 139 175 0 22 May 2019
Boundary Learning by Using Weighted Propagation in Convolution Network Boyuan Ma Chuni Liu Xiaoyan Wei Hao Wang Boyuan Ma Haiyou Huang Weihua Xue Yu Guo 24 16 0 22 May 2019
Survival Function Matching for Calibrated Time-to-Event Predictions Paidamoyo Chapfuwa Chenyang Tao Lawrence Carin Ricardo Henao OOD 45 4 0 21 May 2019
Mutual Information Maximization in Graph Neural Networks Xinhan Di Pengqian Yu Rui Bu Mingchao Sun 73 21 0 21 May 2019
A Seq-to-Seq Transformer Premised Temporal Convolutional Network for Chinese Word Segmentation Wei Jiang Yan Tang 32 4 0 21 May 2019
Dual-branch residual network for lung nodule segmentation Haichao Cao Hong Liu E. Song C. Hung Guangzhi Ma Xiangyang Xu Renchao Jin Jianguo Lu 43 110 0 21 May 2019
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models Egor Zakharov Aliaksandra Shysheya Egor Burkov Victor Lempitsky 3DH 178 631 0 20 May 2019
Zero-Shot Knowledge Distillation in Deep Networks Gaurav Kumar Nayak Konda Reddy Mopuri Vaisakh Shaj R. Venkatesh Babu Anirban Chakraborty 75 245 0 20 May 2019
Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images N. Gessert M. Bengs L. Wittig D. Drömann T. Keck Alexander Schlaefer D. Ellebrecht 52 32 0 20 May 2019
Learning Video Representations from Correspondence Proposals Xingyu Liu Joon-Young Lee Hailin Jin 84 64 0 20 May 2019
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases Zhiqing Sun Jian Tang Pan Du Zhihong Deng Jian-Yun Nie 41 53 0 19 May 2019
What Do Adversarially Robust Models Look At? Takahiro Itazuri Yoshihiro Fukuhara Hirokatsu Kataoka Shigeo Morishima 32 5 0 19 May 2019
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing Chaitanya Kaul Nick E. Pears S. Manandhar 3DPC 72 14 0 18 May 2019
Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces Bryan Seybold Emily Fertig Alexander A. Alemi Ian S. Fischer DRL 92 4 0 17 May 2019
Neural Metric Learning for Fast End-to-End Relation Extraction Tung Tran Ramakanth Kavuluru 90 38 0 17 May 2019
Spectral Metric for Dataset Complexity Assessment Frederic Branchaud-Charron Andrew Achkar Pierre-Marc Jodoin 52 28 0 17 May 2019
CNN-based Cost Volume Analysis as Confidence Measure for Dense Matching M. Mehltretter Christian Heipke 3DV 51 16 0 17 May 2019
PoreNet: CNN-based Pore Descriptor for High-resolution Fingerprint Recognition V. Anand Vivek Kanhangad 35 37 0 16 May 2019
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks Xingde Ying Heng Guo Kai Ma Jian Wu Z. Weng Yefeng Zheng GAN MedIm 72 197 0 16 May 2019
Deep Compressed Sensing Yan Wu Mihaela Rosca Timothy Lillicrap GAN 107 167 0 16 May 2019
MoGlow: Probabilistic and controllable motion synthesis using normalising flows G. Henter Simon Alexanderson Jonas Beskow 94 98 0 16 May 2019
STAR: A Concise Deep Learning Framework for Citywide Human Mobility Prediction Hongnian Wang Han Su HAI 43 17 0 16 May 2019
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes Tae Joon Jun Y. Eom Dohyeun Kim Cherry Kim Ji-Hye Park Hoang Minh Nguyen Daeyoung Kim MedIm 37 28 0 16 May 2019
Automatic Malware Description via Attribute Tagging and Similarity Embedding Felipe N. Ducau Ethan M. Rudd Tad M. Heppner Alex Long Konstantin Berlin 68 16 0 15 May 2019
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets Guanhua Zhang Bing Bai Jian Liang Kun Bai Shiyu Chang Mo Yu Conghui Zhu Tiejun Zhao 79 27 0 15 May 2019
Domain Adaptive Transfer Learning for Fault Diagnosis Qin Wang Gabriel Michau Olga Fink AI4CE 57 112 0 15 May 2019
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis Chaoqi Wang Roger C. Grosse Sanja Fidler Guodong Zhang 80 124 0 15 May 2019
Orthogonal Deep Neural Networks Kui Jia Shuai Li Yuxin Wen Tongliang Liu Dacheng Tao 102 134 0 15 May 2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning Huaiyu Li Weiming Dong Xing Mei Chongyang Ma Feiyue Huang Bao-Gang Hu OffRL 74 98 0 15 May 2019
Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks Guangyong Chen Pengfei Chen Yujun Shi Chang-Yu Hsieh B. Liao Shengyu Zhang OOD 58 80 0 15 May 2019
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment Chen Huang Shuangfei Zhai Walter A. Talbott Miguel Angel Bautista Shi Sun Carlos Guestrin J. Susskind 80 76 0 15 May 2019
Online Normalization for Training Neural Networks Vitaliy Chiley I. Sharapov Atli Kosson Urs Koster R. Reece S. D. L. Fuente Vishal Subbiah Michael James OnRL 74 55 0 15 May 2019