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

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

11 February 2015
Sergey Ioffe
Christian Szegedy
    OOD
ArXivPDFHTML

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

50 / 6,869 papers shown
Title
Synthetic Text Generation for Training Large Language Models via Gradient Matching
Synthetic Text Generation for Training Large Language Models via Gradient Matching
Dang Nguyen
Zeman Li
M. Bateni
Vahab Mirrokni
Meisam Razaviyayn
Baharan Mirzasoleiman
42
0
0
24 Feb 2025
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation
B. Shirokikh
Anvar Kurmukov
Mariia Donskova
Valentin Samokhin
Mikhail Belyaev
Ivan V. Oseledets
OOD
39
0
0
24 Feb 2025
AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEs
AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEs
Francisco Caetano
Christiaan G. A. Viviers
Lena Filatova
Peter H. N. de With
Fons van der Sommen
AAML
MedIm
44
0
0
23 Feb 2025
Online Learning of Danger Avoidance for Complex Structures of Musculoskeletal Humanoids and Its Applications
Online Learning of Danger Avoidance for Complex Structures of Musculoskeletal Humanoids and Its Applications
Kento Kawaharazuka
Naoki Hiraoka
Yuya Koga
Manabu Nishiura
Yusuke Omura
Yuki Asano
Kei Okada
Koji Kawasaki
Masayuki Inaba
46
1
0
22 Feb 2025
Robotic Table Tennis: A Case Study into a High Speed Learning System
Robotic Table Tennis: A Case Study into a High Speed Learning System
David B. DÁmbrosio
Jonathan Abelian
Saminda Abeyruwan
Michael Ahn
Alex Bewley
...
Vikas Sindhwani
Avi Singh
Vincent Vanhoucke
Grace Vesom
Peng-Tao Xu
60
13
0
20 Feb 2025
Stacking as Accelerated Gradient Descent
Stacking as Accelerated Gradient Descent
Naman Agarwal
Pranjal Awasthi
Satyen Kale
Eric Zhao
ODL
73
2
0
20 Feb 2025
Efficient Learning Under Density Shift in Incremental Settings Using Cramér-Rao-Based Regularization
Efficient Learning Under Density Shift in Incremental Settings Using Cramér-Rao-Based Regularization
Behraj Khan
Behroz Mirza
Nouman Durrani
T. Syed
60
0
0
18 Feb 2025
Benchmarking Predictive Coding Networks -- Made Simple
Benchmarking Predictive Coding Networks -- Made Simple
Luca Pinchetti
Chang Qi
Oleh Lokshyn
Gaspard Olivers
Cornelius Emde
...
Simon Frieder
Bayar I. Menzat
Rafal Bogacz
Thomas Lukasiewicz
Tommaso Salvatori
130
5
0
17 Feb 2025
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
F. Jonske
M. Kim
Enrico Nasca
J. Evers
Johannes Haubold
...
F. Nensa
Michael Kamp
C. Seibold
Jan Egger
Jens Kleesiek
79
1
0
17 Feb 2025
QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images
QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images
Thien B. Nguyen-Tat
Hoang-An Vo
Phuoc-Sang Dang
75
0
0
17 Feb 2025
Learn2Mix: Training Neural Networks Using Adaptive Data Integration
Learn2Mix: Training Neural Networks Using Adaptive Data Integration
Shyam Venkatasubramanian
Vahid Tarokh
88
0
0
17 Feb 2025
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Dong Wang
Haris Šikić
Lothar Thiele
O. Saukh
59
0
0
17 Feb 2025
Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descent
Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descent
Hikaru Umeda
Hideaki Iiduka
67
2
0
17 Feb 2025
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts
Sameer Ambekar
Zehao Xiao
Xiantong Zhen
Cees G. M. Snoek
OOD
65
0
0
15 Feb 2025
Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
Megh Shukla
Aziz Shameem
Mathieu Salzmann
Alexandre Alahi
44
1
0
14 Feb 2025
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence
Yuankai Luo
Lei Shi
Xiao-Ming Wu
AI4CE
72
0
0
13 Feb 2025
Early Stopping Against Label Noise Without Validation Data
Early Stopping Against Label Noise Without Validation Data
Suqin Yuan
Lei Feng
Tongliang Liu
NoLa
104
15
0
11 Feb 2025
Epistemic Uncertainty in Conformal Scores: A Unified Approach
Epistemic Uncertainty in Conformal Scores: A Unified Approach
Luben M. C. Cabezas
Vagner S. Santos
Thiago Rodrigo Ramos
Rafael Izbicki
55
0
0
10 Feb 2025
Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification
Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification
Jiachen Li
Xiaojin Gong
DiffM
84
0
0
10 Feb 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Won-Jun Jang
Hyeon-Seo Park
Si-Hyeon Lee
FedML
181
0
0
10 Feb 2025
DeepMill: Neural Accessibility Learning for Subtractive Manufacturing
Fanchao Zhong
Yang Wang
Peng Wang
Lin Lu
Haisen Zhao
HAI
81
0
0
10 Feb 2025
A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement
Muhammad Turab
69
0
0
09 Feb 2025
Parameter Symmetry Breaking and Restoration Determines the Hierarchical Learning in AI Systems
Parameter Symmetry Breaking and Restoration Determines the Hierarchical Learning in AI Systems
Liu Ziyin
Yizhou Xu
T. Poggio
Isaac Chuang
50
4
0
07 Feb 2025
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment
Harrish Thasarathan
Julian Forsyth
Thomas Fel
M. Kowal
Konstantinos G. Derpanis
111
7
0
06 Feb 2025
DRiVE: Dynamic Recognition in VEhicles using snnTorch
DRiVE: Dynamic Recognition in VEhicles using snnTorch
Heerak Vora
Param Pathak
Parul Bakaraniya
36
0
0
04 Feb 2025
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Chris Kolb
T. Weber
Bernd Bischl
David Rügamer
113
0
0
04 Feb 2025
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
Jiaxing Xu
Yongqiang Chen
Xia Dong
Mengcheng Lan
Tiancheng Huang
Qingtian Bian
James Cheng
Yiping Ke
OOD
68
0
0
02 Feb 2025
Position: Curvature Matrices Should Be Democratized via Linear Operators
Position: Curvature Matrices Should Be Democratized via Linear Operators
Felix Dangel
Runa Eschenhagen
Weronika Ormaniec
Andres Fernandez
Lukas Tatzel
Agustinus Kristiadi
58
3
0
31 Jan 2025
GDO: Gradual Domain Osmosis
GDO: Gradual Domain Osmosis
Zixi Wang
Yubo Huang
168
0
0
31 Jan 2025
DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning
DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning
Tom Dooney
Harsh Narola
Stefano Bromuri
R. L. Curier
C. Broeck
Sarah Caudill
D. Tan
67
0
0
30 Jan 2025
Causal Discovery via Bayesian Optimization
Bao Duong
Sunil Gupta
Thin Nguyen
44
0
0
28 Jan 2025
Information Consistent Pruning: How to Efficiently Search for Sparse Networks?
Soheil Gharatappeh
S. Y. Sekeh
59
0
0
28 Jan 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
Kaizheng Wang
Keivan K1 Shariatmadar
Shireen Kudukkil Manchingal
Fabio Cuzzolin
David Moens
Hans Hallez
UQCV
BDL
92
12
0
28 Jan 2025
iFormer: Integrating ConvNet and Transformer for Mobile Application
iFormer: Integrating ConvNet and Transformer for Mobile Application
Chuanyang Zheng
ViT
72
0
0
26 Jan 2025
BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference
BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference
Van Thien Nguyen
William Guicquero
Gilles Sicard
3DV
MQ
79
2
0
24 Jan 2025
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
Yanlai Yang
Mengye Ren
183
0
0
21 Jan 2025
On the Adversarial Vulnerabilities of Transfer Learning in Remote Sensing
On the Adversarial Vulnerabilities of Transfer Learning in Remote Sensing
Tao Bai
Xingjian Tian
Yonghao Xu
B. Wen
AAML
43
0
0
20 Jan 2025
Neuradicon: operational representation learning of neuroimaging reports
Neuradicon: operational representation learning of neuroimaging reports
Henry Watkins
Robert J. Gray
Adam Julius
Y. Mah
W. H. Pinaya
...
Jorge M. Cardoso
Sebastien Ourselin
Geraint Rees
Rolf Jaeger
P. Nachev
MedIm
143
1
0
20 Jan 2025
Model Synthesis for Zero-Shot Model Attribution
Model Synthesis for Zero-Shot Model Attribution
Tianyun Yang
Juan Cao
Danding Wang
Chang Xu
WIGM
75
4
0
20 Jan 2025
Hound: Locating Cryptographic Primitives in Desynchronized Side-Channel Traces Using Deep-Learning
Hound: Locating Cryptographic Primitives in Desynchronized Side-Channel Traces Using Deep-Learning
Davide Galli
Giuseppe Chiari
Davide Zoni
53
2
0
20 Jan 2025
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection
Zhipeng Yu
Qianqian Xu
Yangbangyan Jiang
Yingfei Sun
Qingming Huang
NoLa
69
0
0
19 Jan 2025
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Abdullah Akgul
Manuel Haußmann
M. Kandemir
OffRL
76
1
0
17 Jan 2025
Self-supervised Transformation Learning for Equivariant Representations
Self-supervised Transformation Learning for Equivariant Representations
Jaemyung Yu
Jaehyun Choi
Dong-Jae Lee
H. Hong
Junmo Kim
45
0
0
15 Jan 2025
A Heterogeneous Multimodal Graph Learning Framework for Recognizing User Emotions in Social Networks
A Heterogeneous Multimodal Graph Learning Framework for Recognizing User Emotions in Social Networks
Sree Bhattacharyya
Shuhua Yang
James Z. Wang
38
0
0
13 Jan 2025
Histogram-Equalized Quantization for logic-gated Residual Neural Networks
Histogram-Equalized Quantization for logic-gated Residual Neural Networks
Van Thien Nguyen
William Guicquero
Gilles Sicard
MQ
41
1
0
10 Jan 2025
Risk-averse policies for natural gas futures trading using distributional reinforcement learning
Risk-averse policies for natural gas futures trading using distributional reinforcement learning
Félicien Hêche
Biagio Nigro
Oussama Barakat
Stephan Robert-Nicoud
OffRL
41
0
0
08 Jan 2025
AADNet: Exploring EEG Spatiotemporal Information for Fast and Accurate Orientation and Timbre Detection of Auditory Attention Based on A Cue-Masked Paradigm
AADNet: Exploring EEG Spatiotemporal Information for Fast and Accurate Orientation and Timbre Detection of Auditory Attention Based on A Cue-Masked Paradigm
Keren Shi
Xu Liu
Xue Yuan
Haijie Shang
Ruiting Dai
Hanbin Wang
Yunfa Fu
N. Jiang
Jiayuan He
31
1
0
08 Jan 2025
Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies
Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies
Xubin Wang
Weijia Jia
36
0
0
08 Jan 2025
IntegrityAI at GenAI Detection Task 2: Detecting Machine-Generated Academic Essays in English and Arabic Using ELECTRA and Stylometry
IntegrityAI at GenAI Detection Task 2: Detecting Machine-Generated Academic Essays in English and Arabic Using ELECTRA and Stylometry
Mohammad AL-Smadi
38
0
0
07 Jan 2025
Normalizing Batch Normalization for Long-Tailed Recognition
Yuxiang Bao
Guoliang Kang
Linlin Yang
Xiaoyue Duan
Bo Zhao
Baochang Zhang
MQ
55
0
0
06 Jan 2025
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