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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
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Analysis of Object Detection Models for Tiny Object in Satellite Imagery: A Dataset-Centric Approach Kailas PS Selvakumaran R Palani Murugan Ramesh Kumar V Malaya Kumar Biswal M 126 1 0 12 Dec 2024
Task-specific Self-body Controller Acquisition by Musculoskeletal Humanoids: Application to Pedal Control in Autonomous Driving Kento Kawaharazuka Kei Tsuzuki S. Makino Moritaka Onitsuka Koki Shinjo Yuki Asano Kei Okada Koji Kawasaki Masayuki Inaba 136 9 0 11 Dec 2024
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Swap Path Network for Robust Person Search Pre-training Lucas Jaffe A. Zakhor 3DPC 112 0 0 06 Dec 2024
Towards Understanding the Role of Sharpness-Aware Minimization Algorithms for Out-of-Distribution Generalization Samuel Schapiro Han Zhao 140 1 0 06 Dec 2024
Slicing Vision Transformer for Flexible Inference Yitian Zhang Huseyin Coskun Xu Ma Huan Wang Ke Ma Xi Chen Derek Hao Hu Y. Fu ViT 144 1 0 06 Dec 2024
End-to-end Triple-domain PET Enhancement: A Hybrid Denoising-and-reconstruction Framework for Reconstructing Standard-dose PET Images from Low-dose PET Sinograms C. Jiang Mianxin Liu Kaicong Sun Dinggang Shen MedIm 125 0 0 04 Dec 2024
OMENN: One Matrix to Explain Neural Networks Adam Wróbel Mikołaj Janusz Bartosz Zieliñski Dawid Rymarczyk FAtt AAML 143 0 0 03 Dec 2024
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces Tianwang Jia Lubin Meng Siyang Li Jiajing Liu Dongrui Wu 207 4 0 02 Dec 2024
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OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Yiming Zuo Willow Yang Zeyu Ma Jia Deng MDE 150 2 0 28 Nov 2024
On the Effectiveness of Incremental Training of Large Language Models Miles Q. Li Benjamin C. M. Fung Shih-Chia Huang CLL AIFin 93 1 0 27 Nov 2024
Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving Jon Gutiérrez-Zaballa Koldo Basterretxea Javier Echanobe Óscar Mata-Carballeira M. Victoria Martínez 129 3 0 26 Nov 2024
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Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training Man Yao Xuerui Qiu Tianxiang Hu J. Hu Yuhong Chou Keyu Tian Jianxing Liao Luziwei Leng Bo Xu Guoqi Li 149 16 0 25 Nov 2024
A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Yi Ran Zhichang Guo Jia Li Yao Li Martin Burger Boying Wu DiffM 110 0 0 24 Nov 2024
Symmetric Perception and Ordinal Regression for Detecting Scoliosis Natural Image Xiaojia Zhu Rui Chen Xiaoqi Guo Z. Shao Yuhu Dai Ming Zhang Chuandong Lang 113 0 0 24 Nov 2024
Design-o-meter: Towards Evaluating and Refining Graphic Designs Sahil Goyal Abhinav Mahajan Swasti Mishra Prateksha Udhayanan Tripti Shukla K. J. Joseph Balaji Vasan Srinivasan 128 1 0 22 Nov 2024
Learning Volumetric Neural Deformable Models to Recover 3D Regional Heart Wall Motion from Multi-Planar Tagged MRI Meng Ye Bingyu Xin Bangwei Guo L. Axel Dimitris N. Metaxas 91 0 0 21 Nov 2024
Efficient Medicinal Image Transmission and Resolution Enhancement via GAN Rishabh Kumar Sharma Mukund Sharma Pushkar Sharma Jeetashree Aparjeeta MedIm 82 0 0 19 Nov 2024
Data-efficient Tactile Sensing with Electrical Impedance Tomography Huazhi Dong Ronald B. Liu Leo Micklem Peisan Sharel E F. G. Serchi Yunjie Yang 113 1 0 19 Nov 2024
Towards Accurate and Efficient Sub-8-Bit Integer Training Wenjin Guo Donglai Liu Weiying Xie Yunsong Li Xuefei Ning Zihan Meng Shulin Zeng Jie Lei Zhenman Fang Yu Wang MQ 65 1 0 17 Nov 2024
ChannelDropBack: Forward-Consistent Stochastic Regularization for Deep Networks Evgeny Hershkovitch Neiterman Gil Ben-Artzi 154 0 0 16 Nov 2024
Deep Feature Response Discriminative Calibration Wenxiang Xu Tian Qiu Linyun Zhou Zunlei Feng Xiuming Zhang Huiqiong Wang 102 0 0 16 Nov 2024
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Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Chen-Long Duan Yong Li Xiu-Shen Wei Lin Zhao 66 1 0 14 Nov 2024
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A Composite Fault Diagnosis Model for NPPs Based on Bayesian-EfficientNet Module Siwei Li Jiangwen Chen Hua Lin Wei Wang 96 0 0 13 Nov 2024
An Interpretable X-ray Style Transfer via Trainable Local Laplacian Filter Dominik Eckert L. Ritschl Christopher Syben Christian Hümmer Julia Wicklein M. Beister Steffen Kappler Sebastian Stober MedIm 97 0 0 11 Nov 2024
Spatially Constrained Transformer with Efficient Global Relation Modelling for Spatio-Temporal Prediction Ashutosh Sao Simon Gottschalk AI4TS 67 0 0 11 Nov 2024
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Alternative Learning Paradigms for Image Quality Transfer A. Eldaly Matteo Figini Daniel C. Alexander OOD 68 0 0 08 Nov 2024
Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach Yequan Zhao Hai Li Ian Young Zheng Zhang MQ 97 3 0 07 Nov 2024
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