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Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
v1v2v3 (latest)

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

11 February 2015
Sergey Ioffe
Christian Szegedy
    OOD
ArXiv (abs)PDFHTML

Papers citing "Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift"

50 / 11,142 papers shown
Title
Data-Free Generative Replay for Class-Incremental Learning on Imbalanced
  Data
Data-Free Generative Replay for Class-Incremental Learning on Imbalanced Data
Sohaib Younis
Bernhard Seeger
70
0
0
07 Jun 2024
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural
  Architecture Search Approach
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach
Difan Deng
Marius Lindauer
AI4TS
91
0
0
07 Jun 2024
L-SFAN: Lightweight Spatially-focused Attention Network for Pain
  Behavior Detection
L-SFAN: Lightweight Spatially-focused Attention Network for Pain Behavior Detection
Jorge Ortigoso-Narro
F. Díaz-de-María
Mohammad Mahdi Dehshibi
Ana Tajadura-Jiménez
72
2
0
07 Jun 2024
CTBENCH: A Library and Benchmark for Certified Training
CTBENCH: A Library and Benchmark for Certified Training
Yuhao Mao
Stefan Balauca
Martin Vechev
OOD
133
5
0
07 Jun 2024
Concurrent Training and Layer Pruning of Deep Neural Networks
Concurrent Training and Layer Pruning of Deep Neural Networks
Valentin Frank Ingmar Guenter
Athanasios Sideris
3DPC
86
3
0
06 Jun 2024
Conv-INR: Convolutional Implicit Neural Representation for Multimodal
  Visual Signals
Conv-INR: Convolutional Implicit Neural Representation for Multimodal Visual Signals
Zhicheng Cai
88
0
0
06 Jun 2024
Encoding Semantic Priors into the Weights of Implicit Neural
  Representation
Encoding Semantic Priors into the Weights of Implicit Neural Representation
Zhicheng Cai
Qiu Shen
91
0
0
06 Jun 2024
Quantum Implicit Neural Representations
Quantum Implicit Neural Representations
Jiaming Zhao
Wenbo Qiao
Peng Zhang
Hui Gao
86
4
0
06 Jun 2024
1-D CNN-Based Online Signature Verification with Federated Learning
1-D CNN-Based Online Signature Verification with Federated Learning
Lingfeng Zhang
Yuheng Guo
Yepeng Ding
Hiroyuki Sato
FedML
25
1
0
06 Jun 2024
Quantifying Task Priority for Multi-Task Optimization
Quantifying Task Priority for Multi-Task Optimization
Wooseong Jeong
Kuk-Jin Yoon
83
4
0
05 Jun 2024
U-KAN Makes Strong Backbone for Medical Image Segmentation and
  Generation
U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
Chenxin Li
Xinyu Liu
Wenbo Li
Cheng Wang
Hengyu Liu
Yifan Liu
Zhen Chen
Yixuan Yuan
MedImDiffMSSeg
143
143
0
05 Jun 2024
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
Michael Scholkemper
Xinyi Wu
Ali Jadbabaie
Michael T. Schaub
221
9
0
05 Jun 2024
Textless Acoustic Model with Self-Supervised Distillation for
  Noise-Robust Expressive Speech-to-Speech Translation
Textless Acoustic Model with Self-Supervised Distillation for Noise-Robust Expressive Speech-to-Speech Translation
Min-Jae Hwang
Ilia Kulikov
Benjamin Peloquin
Hongyu Gong
Peng-Jen Chen
Ann Lee
63
3
0
04 Jun 2024
GenS: Generalizable Neural Surface Reconstruction from Multi-View Images
GenS: Generalizable Neural Surface Reconstruction from Multi-View Images
Rui Peng
Xiaodong Gu
Luyang Tang
Shihe Shen
F. Yu
Ronggang Wang
3DGS3DV
92
12
0
04 Jun 2024
Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure
  Detection
Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure Detection
Dinuka Sandun Udayantha
Kavindu Weerasinghe
Nima Wickramasinghe
Akila Abeyratne
Kithmin Wickremasinghe
J. Wanigasinghe
Anjula De Silva
Chamira U. S. Edussooriya
69
2
0
04 Jun 2024
Improving Generalization in Aerial and Terrestrial Mobile Robots Control
  Through Delayed Policy Learning
Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning
Ricardo B. Grando
Raul Steinmetz
V. A. Kich
A. H. Kolling
Pablo M. Furik
J. C. Jesus
Bruna V. Guterres
D. T. Gamarra
R. S. Guerra
Paulo L. J. Drews-Jr
92
5
0
04 Jun 2024
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
Madison Cooley
Shandian Zhe
Robert M. Kirby
Varun Shankar
204
1
0
04 Jun 2024
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised
  Referring Expression Segmentation
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
Danni Yang
Jiayi Ji
Yiwei Ma
Tianyu Guo
Haowei Wang
Xiaoshuai Sun
Rongrong Ji
ISegVLM
95
6
0
03 Jun 2024
Compute-Efficient Medical Image Classification with Softmax-Free
  Transformers and Sequence Normalization
Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization
Firas Khader
Omar S. M. El Nahhas
T. Han
Gustav Muller-Franzes
S. Nebelung
Jakob Nikolas Kather
Daniel Truhn
MedIm
87
0
0
03 Jun 2024
On the Nonlinearity of Layer Normalization
On the Nonlinearity of Layer Normalization
Yunhao Ni
Yuxin Guo
Junlong Jia
Lei Huang
163
5
0
03 Jun 2024
A hybrid numerical methodology coupling Reduced Order Modeling and Graph
  Neural Networks for non-parametric geometries: applications to structural
  dynamics problems
A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problems
Victor Matray
Faisal Amlani
Frédéric Feyel
David Néron
AI4CE
91
5
0
03 Jun 2024
TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation
TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation
Antonio Santo
J. J. Cabrera
David Valiente
C. Viegas
Arturo Gil
3DPC3DV
93
2
0
03 Jun 2024
Phonetic Error Analysis of Raw Waveform Acoustic Models with Parametric
  and Non-Parametric CNNs
Phonetic Error Analysis of Raw Waveform Acoustic Models with Parametric and Non-Parametric CNNs
Erfan Loweimi
Andrea Carmantini
Peter Bell
Steve Renals
Zoran Cvetkovic
53
0
0
02 Jun 2024
An Unsupervised Approach for Periodic Source Detection in Time Series
An Unsupervised Approach for Periodic Source Detection in Time Series
B. U. Demirel
Christian Holz
AI4TS
71
1
0
01 Jun 2024
Audio-Visual Talker Localization in Video for Spatial Sound Reproduction
Audio-Visual Talker Localization in Video for Spatial Sound Reproduction
Davide Berghi
Philip J. B. Jackson
78
0
0
01 Jun 2024
Pedestrian intention prediction in Adverse Weather Conditions with
  Spiking Neural Networks and Dynamic Vision Sensors
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors
Mustafa Sakhai
Szymon Mazurek
Jakub Caputa
Jan K. Argasiñski
Maciej Wielgosz
82
3
0
01 Jun 2024
Benchmarking for Deep Uplift Modeling in Online Marketing
Benchmarking for Deep Uplift Modeling in Online Marketing
Dugang Liu
Xing Tang
Yang Qiao
Miao Liu
Zexu Sun
Xiuqiang He
Zhong Ming
69
1
0
01 Jun 2024
Image Captioning via Dynamic Path Customization
Image Captioning via Dynamic Path Customization
Yiwei Ma
Jiayi Ji
Xiaoshuai Sun
Yiyi Zhou
Xiaopeng Hong
Yongjian Wu
Rongrong Ji
77
0
0
01 Jun 2024
Recurrent neural networks: vanishing and exploding gradients are not the
  end of the story
Recurrent neural networks: vanishing and exploding gradients are not the end of the story
Nicolas Zucchet
Antonio Orvieto
ODLAAML
114
17
0
31 May 2024
MunchSonic: Tracking Fine-grained Dietary Actions through Active
  Acoustic Sensing on Eyeglasses
MunchSonic: Tracking Fine-grained Dietary Actions through Active Acoustic Sensing on Eyeglasses
Saif Mahmud
Devansh Agarwal
Ashwin Ajit
Qikang Liang
Thalia Viranda
François Guimbretière
Cheng Zhang
89
2
0
31 May 2024
Predicting ptychography probe positions using single-shot phase
  retrieval neural network
Predicting ptychography probe positions using single-shot phase retrieval neural network
Ming Du
Tao Zhou
Junjing Deng
Daniel J. Ching
S. Henke
Mathew J. Cherukara
79
1
0
31 May 2024
MALT: Multi-scale Action Learning Transformer for Online Action
  Detection
MALT: Multi-scale Action Learning Transformer for Online Action Detection
Zhipeng Yang
Ruoyu Wang
Yang Tan
Liping Xie
OffRL
77
1
0
31 May 2024
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection
  in Federated Learning
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning
Songze Li
Yanbo Dai
AAMLFedML
103
7
0
31 May 2024
Diffusion Models Are Innate One-Step Generators
Diffusion Models Are Innate One-Step Generators
Bowen Zheng
Tianming Yang
DiffMVLM
75
13
0
31 May 2024
Mitigating the Impact of Labeling Errors on Training via Rockafellian
  Relaxation
Mitigating the Impact of Labeling Errors on Training via Rockafellian Relaxation
Louis L. Chen
Bobbie Chern
Eric Eckstrand
Amogh Mahapatra
J. Royset
33
0
0
30 May 2024
Domain Adaptation with Cauchy-Schwarz Divergence
Domain Adaptation with Cauchy-Schwarz Divergence
Wenzhe Yin
Shujian Yu
Yicong Lin
Jie Li
Jan-Jakob Sonke
E. Gavves
94
4
0
30 May 2024
STAT: Shrinking Transformers After Training
STAT: Shrinking Transformers After Training
Megan Flynn
Alexander Wang
Dean Edward Alvarez
Christopher De Sa
Anil Damle
79
2
0
29 May 2024
Understanding and Minimising Outlier Features in Neural Network Training
Understanding and Minimising Outlier Features in Neural Network Training
Bobby He
Lorenzo Noci
Daniele Paliotta
Imanol Schlag
Thomas Hofmann
89
4
0
29 May 2024
On the Condition Monitoring of Bolted Joints through Acoustic Emission
  and Deep Transfer Learning: Generalization, Ordinal Loss and
  Super-Convergence
On the Condition Monitoring of Bolted Joints through Acoustic Emission and Deep Transfer Learning: Generalization, Ordinal Loss and Super-Convergence
Emmanuel Ramasso
Rafael Teloli
Romain Marcel
45
3
0
29 May 2024
On the Limits of Multi-modal Meta-Learning with Auxiliary Task
  Modulation Using Conditional Batch Normalization
On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization
Jordi Armengol-Estapé
Vincent Michalski
Ramnath Kumar
P. St-Charles
Doina Precup
Samira Ebrahimi Kahou
141
0
0
29 May 2024
Rejection via Learning Density Ratios
Rejection via Learning Density Ratios
Alexander Soen
Hisham Husain
Philip Schulz
Vu-Linh Nguyen
135
2
0
29 May 2024
Edge-guided and Class-balanced Active Learning for Semantic Segmentation
  of Aerial Images
Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images
Lianlei Shan
Weiqiang Wang
Ke Lv
Bin Luo
VLM
128
1
0
28 May 2024
2BP: 2-Stage Backpropagation
2BP: 2-Stage Backpropagation
Christopher Rae
Joseph K. L. Lee
James Richings
MoEMQ
52
0
0
28 May 2024
$C^2M^3$: Cycle-Consistent Multi-Model Merging
C2M3C^2M^3C2M3: Cycle-Consistent Multi-Model Merging
Donato Crisostomi
Marco Fumero
Daniele Baieri
F. Bernard
Emanuele Rodolà
MoMe
101
10
0
28 May 2024
SelMatch: Effectively Scaling Up Dataset Distillation via
  Selection-Based Initialization and Partial Updates by Trajectory Matching
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching
Yongmin Lee
Hye Won Chung
119
9
0
28 May 2024
The Binary Quantized Neural Network for Dense Prediction via Specially
  Designed Upsampling and Attention
The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention
Xingyu Ding
Li Shan
Guiqin Zhao
Meiqi Wu
Wenzhang Zhou
Wei Li
MQ
71
1
0
28 May 2024
Deep Feature Gaussian Processes for Single-Scene Aerosol Optical Depth
  Reconstruction
Deep Feature Gaussian Processes for Single-Scene Aerosol Optical Depth Reconstruction
Shengjie Liu
Lu Zhang
34
2
0
27 May 2024
Supervised Batch Normalization
Supervised Batch Normalization
Bilal Faye
M. Lebbah
Hanane Azzag
32
1
0
27 May 2024
High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$
  Training Memory and $O(1)$ Inference Cost
High-Performance Temporal Reversible Spiking Neural Networks with O(L)O(L)O(L) Training Memory and O(1)O(1)O(1) Inference Cost
Jiakui Hu
Man Yao
Xuerui Qiu
Yuhong Chou
Yuxuan Cai
Ning Qiao
Yonghong Tian
Boxing Xu
Guoqi Li
AI4CE
68
13
0
26 May 2024
AdaFisher: Adaptive Second Order Optimization via Fisher Information
AdaFisher: Adaptive Second Order Optimization via Fisher Information
Damien Martins Gomes
Yanlei Zhang
Eugene Belilovsky
Guy Wolf
Mahdi S. Hosseini
ODL
216
3
0
26 May 2024
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