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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
Imitation from Observation With Bootstrapped Contrastive Learning M. Sonwa Johanna Hansen Eugene Belilovsky OffRL 62 0 0 13 Feb 2023
Semantic Image Segmentation: Two Decades of Research G. Csurka Riccardo Volpi Boris Chidlovskii 3DV 94 53 0 13 Feb 2023
How to Use Dropout Correctly on Residual Networks with Batch Normalization Bum Jun Kim Hyeyeon Choi Hyeonah Jang Donggeon Lee Sang Woo Kim 120 8 0 13 Feb 2023
Towards Local Visual Modeling for Image Captioning Yiwei Ma Jiayi Ji Xiaoshuai Sun Yiyi Zhou Rongrong Ji ViT 105 79 0 13 Feb 2023
Efficient Fraud Detection Using Deep Boosting Decision Trees Bi-Cun Xu Yaonan Wang Xiuwu Liao Kaidong Wang 23 22 0 12 Feb 2023
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records Bingyue Su Yu Wang Daniele E. Schiavazzi Fang Liu 50 2 0 11 Feb 2023
DNArch: Learning Convolutional Neural Architectures by Backpropagation David W. Romero Neil Zeghidour AI4CE 68 4 0 10 Feb 2023
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation Andrea Maracani Raffaello Camoriano Elisa Maiettini Davide Talon Lorenzo Rosasco Lorenzo Natale 90 2 0 10 Feb 2023
Evaluation of Data Augmentation and Loss Functions in Semantic Image Segmentation for Drilling Tool Wear Detection Elke Schlager Andreas Windisch Lukas Hanna T. Klünsner Elias Jan Hagendorfer T. Teppernegg 37 2 0 10 Feb 2023
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation Hyesu Lim Byeonggeun Kim Jaegul Choo Sungha Choi TTA 83 92 0 10 Feb 2023
Digital Twin-Aided Learning for Managing Reconfigurable Intelligent Surface-Assisted, Uplink, User-Centric Cell-Free Systems Ying-Kai Cui Tiejun Lv Wei Ni Abbas Jamalipour 48 8 0 10 Feb 2023
AV-data2vec: Self-supervised Learning of Audio-Visual Speech Representations with Contextualized Target Representations Jiachen Lian Alexei Baevski Wei-Ning Hsu Michael Auli SSL 150 34 0 10 Feb 2023
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames Ondrej Biza Sjoerd van Steenkiste Mehdi S. M. Sajjadi Gamaleldin F. Elsayed Aravindh Mahendran Thomas Kipf OCL 135 37 0 09 Feb 2023
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors Sirui Xu Yu-Xiong Wang Liangyan Gui 85 45 0 09 Feb 2023
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment Wei Dong Dawei Yan Peifeng Wang SSL 157 2 0 09 Feb 2023
Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer Dichao Liu T. Yamasaki Yu Wang K. Mase Jien Kato 92 28 0 09 Feb 2023
Scale-aware neural calibration for wide swath altimetry observations Q. Febvre C. Ubelmann Julien Le Sommer Ronan Fablet 66 4 0 09 Feb 2023
An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint Ziang Yan Shusen Wang Guorui Zhou Jingjian Lin Peng Jiang OffRL 42 8 0 09 Feb 2023
Unsupervised Learning of Initialization in Deep Neural Networks via Maximum Mean Discrepancy Cheolhyoung Lee Kyunghyun Cho 59 0 0 08 Feb 2023
Geometric Perception based Efficient Text Recognition P.N.Deelaka D.R.Jayakodi D.Y.Silva 50 3 0 08 Feb 2023
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes Mohammad Farazi Zhangsihao Yang Wenjie Zhu Peijie Qiu Yalin Wang 3DV 63 4 0 08 Feb 2023
Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision Eugene Kharitonov Damien Vincent Zalan Borsos Raphaël Marinier Sertan Girgin Olivier Pietquin Matthew Sharifi Marco Tagliasacchi Neil Zeghidour 105 206 0 07 Feb 2023
Revisiting Pre-training in Audio-Visual Learning Ruoxuan Feng Wenke Xia Di Hu 80 1 0 07 Feb 2023
Learning Discretized Neural Networks under Ricci Flow Jun Chen Han Chen Mengmeng Wang Guang Dai Ivor W. Tsang Yang Liu 103 4 0 07 Feb 2023
An End-to-End Two-Phase Deep Learning-Based workflow to Segment Man-made Objects Around Reservoirs Nayereh Hamidishad R. M. C. Junior 61 1 0 07 Feb 2023
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency Junfeng Guo Yiming Li Xun Chen Hanqing Guo Lichao Sun Cong Liu AAML MLAU 89 111 0 07 Feb 2023
On the Ideal Number of Groups for Isometric Gradient Propagation Bum Jun Kim Hyeyeon Choi Hyeonah Jang Sang Woo Kim 63 1 0 07 Feb 2023
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning Sunyi Chi B. Dong Yiming Xu Zhenyu Shi Zheng Du NoLa 104 3 0 06 Feb 2023
AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme using Few-Shot Learning for Mobile Platforms Hossein Fereidooni Jan König Phillip Rieger Marco Chilese Bora Gökbakan Moritz Finke Alexandra Dmitrienko A. Sadeghi HAI 38 13 0 06 Feb 2023
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle Vanessa Mehlin Sigurd Schacht Carsten Lanquillon HAI MedIm 133 20 0 05 Feb 2023
CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning Xia Xu Jochen Triesch SSL 65 2 0 05 Feb 2023
JPEG Steganalysis Based on Steganographic Feature Enhancement and Graph Attention Learning Qiyun Liu Zhiguang Yang Han-Yan Wu 65 0 0 05 Feb 2023
A neural operator-based surrogate solver for free-form electromagnetic inverse design Yannick Augenstein T. Repän C. Rockstuhl AI4CE 69 31 0 04 Feb 2023
Semantic Diffusion Network for Semantic Segmentation Hao Hao Tan Sitong Wu Jimin Pi DiffM 106 33 0 04 Feb 2023
Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting Katrina Chen M. Feng T. Wirjanto AI4TS 22 7 0 04 Feb 2023
Extracting the gamma-ray source-count distribution below the Fermi-LAT detection limit with deep learning Aurelio Amerio A. Cuoco N. Fornengo 74 4 0 03 Feb 2023
FR3D: Three-dimensional Flow Reconstruction and Force Estimation for Unsteady Flows Around Extruded Bluff Bodies via Conformal Mapping Aided Convolutional Autoencoders Ali Girayhan Ozbay S. Laizet AI4CE 54 2 0 03 Feb 2023
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification Gorka Abad Jing Xu Stefanos Koffas Behrad Tajalli S. Picek Mauro Conti AAML 118 6 0 03 Feb 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging Soroosh Tayebi Arasteh Alexander Ziller Christiane Kuhl Marcus R. Makowski S. Nebelung R. Braren Daniel Rueckert Daniel Truhn Georgios Kaissis MedIm 142 25 0 03 Feb 2023
SegForestNet: Spatial-Partitioning-Based Aerial Image Segmentation D. Gritzner Jörn Ostermann 83 0 0 03 Feb 2023
Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction Junwen Bai Yuanqi Du Yingheng Wang Shufeng Kong J. Gregoire Carla P. Gomes 51 8 0 03 Feb 2023
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition Franziska Schirrmacher Benedikt Lorch Anatol Maier Christian Riess UQCV 80 6 0 02 Feb 2023
Scaling Up Computer Vision Neural Networks Using Fast Fourier Transform Siddharth Agrawal 27 0 0 02 Feb 2023
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference Bingyi Zhang Hanqing Zeng Viktor Prasanna GNN 99 20 0 02 Feb 2023
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control Zhen Lin Shubhendu Trivedi Cao Xiao Jimeng Sung 75 2 0 02 Feb 2023
Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index A. Khademi M. Hopka Devesh Upadhyay OOD 82 3 0 01 Feb 2023
A Survey of Deep Learning: From Activations to Transformers Johannes Schneider Michalis Vlachos ViT MedIm AI4TS AI4CE 112 10 0 01 Feb 2023
Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training K. Cheuk Keunwoo Choi Qiuqiang Kong Bochen Li Minz Won Ju-Chiang Wang Yun-Ning Hung Dorien Herremans 108 6 0 01 Feb 2023
Revisiting Bellman Errors for Offline Model Selection Joshua P. Zitovsky Daniel de Marchi Rishabh Agarwal Michael R. Kosorok University of North Carolina at Chapel Hill OffRL 84 5 0 31 Jan 2023
Exploring QSAR Models for Activity-Cliff Prediction Markus Dablander Thierry Hanser R. Lambiotte Garrett M. Morris 32 26 0 31 Jan 2023