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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
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis Maxime W. Lafarge Erik J. Bekkers J. Pluim R. Duits M. Veta MedIm 156 75 0 20 Feb 2020
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On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 101 137 0 20 Feb 2020
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Revisiting Training Strategies and Generalization Performance in Deep Metric Learning Karsten Roth Timo Milbich Samarth Sinha Prateek Gupta Bjorn Ommer Joseph Paul Cohen 187 173 0 19 Feb 2020
Rethinking the Hyperparameters for Fine-tuning Hao Li Pratik Chaudhari Hao Yang Michael Lam Avinash Ravichandran Rahul Bhotika Stefano Soatto VLM 93 130 0 19 Feb 2020
Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows G. Yoo H. Owhadi 74 21 0 19 Feb 2020
Structured Sparsification with Joint Optimization of Group Convolution and Channel Shuffle Xinyu Zhang Kai Zhao Taihong Xiao Mingg-Ming Cheng Ming-Hsuan Yang 63 1 0 19 Feb 2020
Progressive Identification of True Labels for Partial-Label Learning Jiaqi Lv Miao Xu Lei Feng Gang Niu Xin Geng Masashi Sugiyama 108 186 0 19 Feb 2020
Being Bayesian about Categorical Probability Taejong Joo U. Chung Minji Seo UQCV BDL 103 61 0 19 Feb 2020
The Tree Ensemble Layer: Differentiability meets Conditional Computation Hussein Hazimeh Natalia Ponomareva P. Mol Zhenyu Tan Rahul Mazumder UQCV AI4CE 443 80 0 18 Feb 2020
Learning Bijective Feature Maps for Linear ICA A. Camuto M. Willetts Brooks Paige Chris Holmes Stephen J. Roberts 48 3 0 18 Feb 2020
FeatureNMS: Non-Maximum Suppression by Learning Feature Embeddings Niels Ole Salscheider 66 38 0 18 Feb 2020
Gravitational-wave parameter estimation with autoregressive neural network flows Stephen R. Green C. Simpson J. Gair BDL 130 86 0 18 Feb 2020
Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots Neelesh Kumar Konstantinos Michmizos 12 5 0 18 Feb 2020
V4D:4D Convolutional Neural Networks for Video-level Representation Learning Shiwen Zhang Sheng Guo Weilin Huang Matthew R. Scott Limin Wang 50 73 0 18 Feb 2020
Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming M. Elaraby Guy Wolf Margarida Carvalho 53 5 0 17 Feb 2020
Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations Yichi Zhang Ritchie Zhao Weizhe Hua N. Xu G. E. Suh Zhiru Zhang MQ 159 27 0 17 Feb 2020
Lifter Training and Sub-band Modeling for Computationally Efficient and High-Quality Voice Conversion Using Spectral Differentials Takaaki Saeki Yuki Saito Shinnosuke Takamichi Hiroshi Saruwatari 17 4 0 17 Feb 2020
Residual Continual Learning Janghyeon Lee Donggyu Joo H. Hong Junmo Kim CLL 135 24 0 17 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 255 494 0 17 Feb 2020
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection Yeongmin Ko Jiwon Jun Shoaib Azam Donghwuy Ko M. Jeon Witold Pedrycz 3DPC 64 244 0 16 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 132 321 0 15 Feb 2020
Federated Learning with Matched Averaging Hongyi Wang Mikhail Yurochkin Yuekai Sun Dimitris Papailiopoulos Y. Khazaeni FedML 145 1,134 0 15 Feb 2020
Mapping Motor Cortex Stimulation to Muscle Responses: A Deep Neural Network Modeling Approach Md Navid Akbar M. Yarossi Marc Martinez-Gost M. Sommer M. Dannhauer S. Rampersad Dana Brooks E. Tunik Deniz Erdoğmuş 41 8 0 14 Feb 2020
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks M. Leming Juan M Gorriz J. Suckling 43 52 0 14 Feb 2020
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows Kashif Rasul Abdul-Saboor Sheikh Ingmar Schuster Urs M. Bergmann Roland Vollgraf BDL AI4TS AI4CE 146 187 0 14 Feb 2020
Adversarial Distributional Training for Robust Deep Learning Yinpeng Dong Zhijie Deng Tianyu Pang Hang Su Jun Zhu OOD 96 123 0 14 Feb 2020
Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention Minyoung Chung Jingyu Lee Jeongjin Lee Y. Shin MedIm 46 29 0 14 Feb 2020
Acoustic Scene Classification Using Bilinear Pooling on Time-liked and Frequency-liked Convolution Neural Network Xing Yong Kek C. Chin Ye Li 14 4 0 14 Feb 2020
Back-and-Forth prediction for deep tensor compression Hyomin Choi R. Cohen Ivan V. Bajić 58 32 0 14 Feb 2020
Harvesting Ambient RF for Presence Detection Through Deep Learning Yang Liu Tiexing Wang Yuexin Jiang Biao Chen 51 23 0 13 Feb 2020
A comprehensive review on convolutional neural network in machine fault diagnosis Jinyang Jiao Ming Zhao Jing Lin Kaixuan Liang 33 426 0 13 Feb 2020
Cross-Iteration Batch Normalization Zhuliang Yao Yu Cao Shuxin Zheng Gao Huang Stephen Lin 79 86 0 13 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 476 19,004 0 13 Feb 2020
Classifying the classifier: dissecting the weight space of neural networks Gabriel Eilertsen Daniel Jonsson Timo Ropinski Jonas Unger Anders Ynnerman 76 54 0 13 Feb 2020
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach Kecheng Zhang Meng Li Zhengchao Zhang Xi Lin Fang He 163 149 0 13 Feb 2020
MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization Hong Wu Jiahai Wang Zizhen Zhang 55 23 0 13 Feb 2020
Scalable and Practical Natural Gradient for Large-Scale Deep Learning Kazuki Osawa Yohei Tsuji Yuichiro Ueno Akira Naruse Chuan-Sheng Foo Rio Yokota 90 37 0 13 Feb 2020
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges T. H. Le Hao Chen Muhammad Ali Babar VLM 147 155 0 13 Feb 2020
CEB Improves Model Robustness Ian S. Fischer Alexander A. Alemi AAML 137 30 0 13 Feb 2020
The Conditional Entropy Bottleneck Ian S. Fischer OOD 127 122 0 13 Feb 2020
Regularizing activations in neural networks via distribution matching with the Wasserstein metric Taejong Joo Donggu Kang Byunghoon Kim 78 8 0 13 Feb 2020
Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images Ying Da Wang Mehdi Shabaninejad R. Armstrong P. Mostaghimi 3DV 48 19 0 13 Feb 2020
Fully convolutional networks for structural health monitoring through multivariate time series classification Luca Rosafalco Andrea Manzoni S. Mariani A. Corigliano 47 50 0 12 Feb 2020
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System Nataniel Ruiz Hao Yu Danielle A. Allessio Mona Jalal Ajjen Joshi ... Vitaly Ablavsky I. Arroyo B. Woolf Stan Sclaroff Margrit Betke 16 4 0 12 Feb 2020
Estimating Uncertainty Intervals from Collaborating Networks Tianhui Zhou Yitong Li Yuan Wu David Carlson UQCV 177 17 0 12 Feb 2020
Real or Not Real, that is the Question Yuanbo Xiangli Yubin Deng Bo Dai Chen Change Loy Dahua Lin GAN 135 47 0 12 Feb 2020