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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
Going beyond persistent homology using persistent homology Johanna Immonen Amauri H. Souza Vikas Garg 84 13 0 10 Nov 2023
Multi-Label Topic Model for Financial Textual Data Moritz Scherrmann 26 1 0 10 Nov 2023
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation Heejoon Koo 83 0 0 10 Nov 2023
Robust Adversarial Attacks Detection for Deep Learning based Relative Pose Estimation for Space Rendezvous Ziwei Wang Nabil Aouf Jose Pizarro Christophe Honvault AAML 65 0 0 10 Nov 2023
RepQ: Generalizing Quantization-Aware Training for Re-Parametrized Architectures Anastasiia Prutianova Alexey Zaytsev Chung-Kuei Lee Fengyu Sun Ivan Koryakovskiy MQ 66 0 0 09 Nov 2023
Enhancing Instance-Level Image Classification with Set-Level Labels Renyu Zhang Aly A. Khan Yuxin Chen Robert L. Grossman 85 0 0 09 Nov 2023
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands Pourya Behmandpoor Panagiotis Patrinos Marc Moonen 64 1 0 08 Nov 2023
Deep Learning Assisted Multiuser MIMO Load Modulated Systems for Enhanced Downlink mmWave Communications Ercong Yu Jinle Zhu Qiang Li Zilong Liu Hongyang Chen S. Shamai H. Vincent Poor 19 0 0 08 Nov 2023
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation A. Hung Haoxin Zheng Kai Zhao Xiaoxi Du Kaifeng Pang Qi Miao Steven S. Raman D. Terzopoulos Kyunghyun Sung 3DPC 66 5 0 08 Nov 2023
Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization Elan Rosenfeld Andrej Risteski 90 12 0 07 Nov 2023
Multi-resolution Time-Series Transformer for Long-term Forecasting Yitian Zhang Liheng Ma Soumyasundar Pal Yingxue Zhang Mark Coates AI4TS 86 35 0 07 Nov 2023
Energy-Calibrated VAE with Test Time Free Lunch Yihong Luo Si-Huang Qiu Xingjian Tao Yujun Cai Jing Tang 178 4 0 07 Nov 2023
Analysis of NaN Divergence in Training Monocular Depth Estimation Model Bum Jun Kim Hyeonah Jang Sang Woo Kim 76 0 0 07 Nov 2023
MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters Chau Pham Piotr Teterwak Soren Nelson Bryan A. Plummer 91 4 0 07 Nov 2023
Improved weight initialization for deep and narrow feedforward neural network Hyunwoo Lee Yunho Kim Seungyeop Yang Hayoung Choi ODL 144 3 0 07 Nov 2023
PcLast: Discovering Plannable Continuous Latent States Anurag Koul Shivakanth Sujit Shaoru Chen Ben Evans Lili Wu ... Yonathan Efroni Lekan Molu Miro Dudik John Langford Alex Lamb OffRL BDL 104 1 0 06 Nov 2023
TS-Diffusion: Generating Highly Complex Time Series with Diffusion Models Yangming Li DiffM AI4TS 99 5 0 06 Nov 2023
Deep Image Semantic Communication Model for Artificial Intelligent Internet of Things Li Ping Qian Yi Zhang Sikai Lyu Huijie Zhu Yuan Wu X. Shen Xiaoniu Yang VLM 79 1 0 06 Nov 2023
AdaFlood: Adaptive Flood Regularization Wonho Bae Yi Ren Mohamad Osama Ahmed Frederick Tung Danica J. Sutherland Gabriel L. Oliveira AI4CE 77 1 0 06 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 52 2 0 05 Nov 2023
IPVNet: Learning Implicit Point-Voxel Features for Open-Surface 3D Reconstruction Mohammad Arshad William J. Beksi 3DPC 3DV 56 1 0 05 Nov 2023
Neural Network Reconstruction of the Left Atrium using Sparse Catheter Paths A. Baram Moshe Safran T. Noy Naveh Geri H. Greenspan 25 0 0 04 Nov 2023
PRISM: Progressive Restoration for Scene Graph-based Image Manipulation Pavel Jahoda Azade Farshad Yousef Yeganeh Ehsan Adeli Nassir Navab DiffM 37 2 0 03 Nov 2023
Neural Collage Transfer: Artistic Reconstruction via Material Manipulation Ganghun Lee Minji Kim Yunsu Lee M. Lee Byoung-Tak Zhang DiffM 55 1 0 03 Nov 2023
GroomGen: A High-Quality Generative Hair Model Using Hierarchical Latent Representations Yuxiao Zhou Menglei Chai Alessandro Pepe Markus Gross Thabo Beeler 3DH 126 17 0 03 Nov 2023
Towards Unsupervised Object Detection From LiDAR Point Clouds Lunjun Zhang A. Yang Yuwen Xiong Sergio Casas Bin Yang Mengye Ren R. Urtasun 3DPC 149 21 0 03 Nov 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data Cheng-Hao Tu Hong-You Chen Zheda Mai Shitian Zhao Vardaan Pahuja Tanya Berger-Wolf Song Gao Charles V. Stewart Yu-Chuan Su Wei-Lun Chao CLL 84 6 0 02 Nov 2023
Graph Neural Networks for Topological Feature Extraction in ECG Classification Kamyar Zeinalipour Marco Gori 21 4 0 02 Nov 2023
Learning Intra and Inter-Camera Invariance for Isolated Camera Supervised Person Re-identification Menglin Wang Xiaojin Gong 67 1 0 02 Nov 2023
Overhead Line Defect Recognition Based on Unsupervised Semantic Segmentation Weixi Wang Xichen Zhong Xin Li Sizhe Li Xun Ma 24 0 0 02 Nov 2023
Coop: Memory is not a Commodity Jianhao Zhang Shihan Ma Peihong Liu Jinhui Yuan 58 5 0 01 Nov 2023
Rethinking Samples Selection for Contrastive Learning: Mining of Potential Samples Hengkui Dong Xianzhong Long Yun Li 131 2 0 01 Nov 2023
Flooding Regularization for Stable Training of Generative Adversarial Networks Iu Yahiro Takashi Ishida Naoto Yokoya GAN AI4CE 41 0 0 01 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 163 6 0 01 Nov 2023
GATSY: Graph Attention Network for Music Artist Similarity Andrea Giuseppe Di Francesco Giuliano Giampietro Indro Spinelli Danilo Comminiello 78 1 0 01 Nov 2023
In Search of Lost Online Test-time Adaptation: A Survey Zixin Wang Yadan Luo Liang Zheng Zhuoxiao Chen Sen Wang Zi Huang 106 18 0 31 Oct 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks Micah Goldblum Hossein Souri Renkun Ni Manli Shu Viraj Prabhu ... Adrien Bardes Judy Hoffman Ramalingam Chellappa Andrew Gordon Wilson Tom Goldstein VLM 190 68 0 30 Oct 2023
SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization Hao Dong Ismail Nejjar Han Sun Eleni Chatzi Olga Fink 101 25 0 30 Oct 2023
ViR: Towards Efficient Vision Retention Backbones Ali Hatamizadeh Michael Ranzinger Shiyi Lan Jose M. Alvarez Sanja Fidler Jan Kautz GNN 33 2 0 30 Oct 2023
The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch Tim Z. Xiao Johannes Zenn Robert Bamler 36 0 0 30 Oct 2023
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo Vibhas Kumar Vats Sripad Joshi David J. Crandall Md. Alimoor Reza Soon-Heung Jung 3DV 100 9 0 30 Oct 2023
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition Meng Lou Hong-Yu Zhou Sibei Yang Yizhou Yu Chuan Wu Yizhou Yu ViT 168 41 0 30 Oct 2023
Emergence of Grid-like Representations by Training Recurrent Networks with Conformal Normalization Dehong Xu Ruiqi Gao Wen-Hao Zhang Xue-Xin Wei Ying Nian Wu 117 3 0 29 Oct 2023
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation Tianhao Zhang Shenglin Wang N. Bouaynaya R. Calinescu Lyudmila Mihaylova OODD 69 2 0 29 Oct 2023
Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations Jungtaek Kim Mingxuan Li Oliver Hinder Paul W. Leu 54 1 0 29 Oct 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 109 41 0 29 Oct 2023
TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression Megh Shukla Mathieu Salzmann Alexandre Alahi 78 3 0 29 Oct 2023
Adaptive Test-Time Personalization for Federated Learning Wenxuan Bao Tianxin Wei Haohan Wang Jingrui He TTA OOD 84 18 0 28 Oct 2023
TorchDEQ: A Library for Deep Equilibrium Models Zhengyang Geng J. Zico Kolter VLM 160 12 0 28 Oct 2023
ReConTab: Regularized Contrastive Representation Learning for Tabular Data Suiyao Chen Jing Wu N. Hovakimyan Handong Yao 87 36 0 28 Oct 2023