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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 / 11,084 papers shown
Title
How to Train Your Metamorphic Deep Neural Network
How to Train Your Metamorphic Deep Neural Network
Thomas Sommariva
Simone Calderara
Angelo Porrello
56
0
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SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation
SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation
Zixuan Hu
Yichun Hu
Ling-yu Duan
TTA
109
0
0
07 May 2025
Blending 3D Geometry and Machine Learning for Multi-View Stereopsis
Blending 3D Geometry and Machine Learning for Multi-View Stereopsis
Vibhas Kumar Vats
Md. Alimoor Reza
David J. Crandall
Soon-Heung Jung
3DV
84
0
0
06 May 2025
MGFF-TDNN: A Multi-Granularity Feature Fusion TDNN Model with Depth-Wise Separable Module for Speaker Verification
MGFF-TDNN: A Multi-Granularity Feature Fusion TDNN Model with Depth-Wise Separable Module for Speaker Verification
Ya Li
Bin Zhou
Bo Hu
441
0
0
06 May 2025
PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs
PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs
Lukas Meiner
Jens Mehnert
Alexandru Paul Condurache
MQ
167
0
0
06 May 2025
Improving the Reproducibility of Deep Learning Software: An Initial Investigation through a Case Study Analysis
Improving the Reproducibility of Deep Learning Software: An Initial Investigation through a Case Study Analysis
Nikita Ravi
Abhinav Goel
James C. Davis
George K. Thiruvathukal
91
0
0
06 May 2025
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations
Davide Sartor
Alberto Sinigaglia
Gian Antonio Susto
204
0
0
05 May 2025
Estimating Commonsense Scene Composition on Belief Scene Graphs
Estimating Commonsense Scene Composition on Belief Scene Graphs
Mario A. V. Saucedo
Vignesh Kottayam Viswanathan
Christoforos Kanellakis
G. Nikolakopoulos
3DV
102
0
0
05 May 2025
DPNet: Dynamic Pooling Network for Tiny Object Detection
DPNet: Dynamic Pooling Network for Tiny Object Detection
Luqi Gong
Haotian Chen
Yushen Chen
Tianliang Yao
Chao Li
Shuai Zhao
Guangjie Han
ObjD
444
0
0
05 May 2025
Sharpness-Aware Minimization with Z-Score Gradient Filtering for Neural Networks
Sharpness-Aware Minimization with Z-Score Gradient Filtering for Neural Networks
Juyoung Yun
193
0
0
05 May 2025
Local Herb Identification Using Transfer Learning: A CNN-Powered Mobile Application for Nepalese Flora
Local Herb Identification Using Transfer Learning: A CNN-Powered Mobile Application for Nepalese Flora
Prajwal Thapa
Mridul Sharma
Jinu Nyachhyon
Yagya Raj Pandeya
52
0
0
04 May 2025
Wide & Deep Learning for Node Classification
Wide & Deep Learning for Node Classification
Yancheng Chen
Wenguo Yang
Zhipeng Jiang
GNN
110
0
0
04 May 2025
A Neural Architecture Search Method using Auxiliary Evaluation Metric based on ResNet Architecture
A Neural Architecture Search Method using Auxiliary Evaluation Metric based on ResNet Architecture
Shang Wang
Huanrong Tang
Jianquan Ouyang
75
0
0
02 May 2025
Efficient Vision-based Vehicle Speed Estimation
Efficient Vision-based Vehicle Speed Estimation
Andrej Macko
Lukás Gajdosech
Viktor Kocur
445
0
0
02 May 2025
On the Importance of Gaussianizing Representations
On the Importance of Gaussianizing Representations
Daniel Eftekhari
Vardan Papyan
77
0
0
01 May 2025
Utilising Gradient-Based Proposals Within Sequential Monte Carlo Samplers for Training of Partial Bayesian Neural Networks
Utilising Gradient-Based Proposals Within Sequential Monte Carlo Samplers for Training of Partial Bayesian Neural Networks
Andrew Millard
Joshua Murphy
Simon Maskell
Zheng Zhao
BDL
80
0
0
01 May 2025
iMacSR: Intermediate Multi-Access Supervision and Regularization in Training Autonomous Driving Models
iMacSR: Intermediate Multi-Access Supervision and Regularization in Training Autonomous Driving Models
Wei-Bin Kou
Guangxu Zhu
Yichen Jin
Shuai Wang
Ming Tang
Yik-Chung Wu
70
0
0
01 May 2025
A Memetic Algorithm based on Variational Autoencoder for Black-Box Discrete Optimization with Epistasis among Parameters
A Memetic Algorithm based on Variational Autoencoder for Black-Box Discrete Optimization with Epistasis among Parameters
Aoi Kato
Kenta Kojima
Masahiro Nomura
I. Ono
68
0
0
30 Apr 2025
xEEGNet: Towards Explainable AI in EEG Dementia Classification
xEEGNet: Towards Explainable AI in EEG Dementia Classification
Andrea Zanola
Louis Fabrice Tshimanga
Federico Del Pup
Marco Baiesi
Manfredo Atzori
156
0
0
30 Apr 2025
Efficient Listener: Dyadic Facial Motion Synthesis via Action Diffusion
Efficient Listener: Dyadic Facial Motion Synthesis via Action Diffusion
Zehua Wang
Alexandre Bruckert
P. Le Callet
Guangtao Zhai
VGen
56
0
0
29 Apr 2025
FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection
FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection
Yao Xiao
Tingfa Xu
Yu Xin
Jianan Li
ObjD
103
0
0
29 Apr 2025
Learning Streaming Video Representation via Multitask Training
Learning Streaming Video Representation via Multitask Training
Yibin Yan
Jilan Xu
Shangzhe Di
Yikun Liu
Yudi Shi
Qirui Chen
Zeqian Li
Yifei Huang
Weidi Xie
CLL
156
1
0
28 Apr 2025
Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection
Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection
Dou Quan
Rufan Zhou
Shuang Wang
Ning Huyan
Dong Zhao
Yunan Li
L. Jiao
124
0
0
28 Apr 2025
BQSched: A Non-intrusive Scheduler for Batch Concurrent Queries via Reinforcement Learning
BQSched: A Non-intrusive Scheduler for Batch Concurrent Queries via Reinforcement Learning
Chenhao Xu
Chunyu Chen
Jinglin Peng
Jiannan Wang
Jun Gao
OffRLAI4TS
80
0
0
27 Apr 2025
Partition Map-Based Fast Block Partitioning for VVC Inter Coding
Partition Map-Based Fast Block Partitioning for VVC Inter Coding
Xinmin Feng
Z. Li
L. Li
Dong Liu
Feng Wu
101
0
0
25 Apr 2025
Deep Learning vs. Black-Scholes: Option Pricing Performance on Brazilian Petrobras Stocks
Deep Learning vs. Black-Scholes: Option Pricing Performance on Brazilian Petrobras Stocks
Joao Felipe Gueiros
Hemanth Chandravamsi
Steven H. Frankel
33
0
0
25 Apr 2025
CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity
CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity
Mert Sonmezer
Seyda Ertekin
AI4TS
96
0
0
24 Apr 2025
HydroStartML: A combined machine learning and physics-based approach to reduce hydrological model spin-up time
HydroStartML: A combined machine learning and physics-based approach to reduce hydrological model spin-up time
Louisa Pawusch
Stefania Scheurer
Wolfgang Nowak
Reed Maxwell
AI4CE
90
0
0
24 Apr 2025
Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection
Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection
Linhua Kong
Dongxia Chang
Lian Liu
Zisen Kong
Pengyuan Li
Yao Zhao
71
0
0
23 Apr 2025
Fried Parameter Estimation from Single Wavefront Sensor Image with Artificial Neural Networks
Fried Parameter Estimation from Single Wavefront Sensor Image with Artificial Neural Networks
Jeffrey Smith
Taisei Fujii
Jesse Craney
Charles Gretton
39
0
0
23 Apr 2025
Application of an attention-based CNN-BiLSTM framework for in vivo two-photon calcium imaging of neuronal ensembles: decoding complex bilateral forelimb movements from unilateral M1
Application of an attention-based CNN-BiLSTM framework for in vivo two-photon calcium imaging of neuronal ensembles: decoding complex bilateral forelimb movements from unilateral M1
Ghazal Mirzaee
Jonathan Chang
Shahrzad Latifi
44
0
0
23 Apr 2025
A Novel Graph Transformer Framework for Gene Regulatory Network Inference
A Novel Graph Transformer Framework for Gene Regulatory Network Inference
Binon Teji
Swarup Roy
26
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0
23 Apr 2025
Analytical Softmax Temperature Setting from Feature Dimensions for Model- and Domain-Robust Classification
Analytical Softmax Temperature Setting from Feature Dimensions for Model- and Domain-Robust Classification
Tatsuhito Hasegawa
Shunsuke Sakai
83
0
0
22 Apr 2025
TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data
TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data
Yanbo Dai
Songze Li
Zihan Gan
Xueluan Gong
AAMLFedML
63
0
0
22 Apr 2025
Development and evaluation of a deep learning algorithm for German word recognition from lip movements
Development and evaluation of a deep learning algorithm for German word recognition from lip movements
Dinh Nam Pham
Torsten Rahne
207
4
0
22 Apr 2025
VeLU: Variance-enhanced Learning Unit for Deep Neural Networks
VeLU: Variance-enhanced Learning Unit for Deep Neural Networks
Ashkan Shakarami
Yousef Yeganeh
Azade Farshad
Lorenzo Nicolè
Stefano Ghidoni
Nassir Navab
92
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21 Apr 2025
How to systematically develop an effective AI-based bias correction model?
How to systematically develop an effective AI-based bias correction model?
Xiao Zhou
Yuze Sun
Jie Wu
Xiaomeng Huang
AI4Cl
59
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Segment Any Crack: Deep Semantic Segmentation Adaptation for Crack Detection
Segment Any Crack: Deep Semantic Segmentation Adaptation for Crack Detection
Ghodsiyeh Rostami
Po-Han Chen
Mahdi S. Hosseini
81
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0
19 Apr 2025
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
Jindong Li
Yongqian Li
Yali Fu
Jiahong Liu
Yixin Liu
Menglin Yang
Irwin King
VLM
84
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0
19 Apr 2025
Fairness and Robustness in Machine Unlearning
Fairness and Robustness in Machine Unlearning
Khoa Tran
Simon S. Woo
FaMLOODMUAAML
127
1
0
18 Apr 2025
KAN or MLP? Point Cloud Shows the Way Forward
KAN or MLP? Point Cloud Shows the Way Forward
Yan Shi
Qingdong He
Yijun Liu
Xiaoyu Liu
Jingyong Su
3DPC
148
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0
18 Apr 2025
Scaling LLaNA: Advancing NeRF-Language Understanding Through Large-Scale Training
Scaling LLaNA: Advancing NeRF-Language Understanding Through Large-Scale Training
Andrea Amaduzzi
Pierluigi Zama Ramirez
Giuseppe Lisanti
Samuele Salti
Luigi Di Stefano
105
1
0
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Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
Tom Jacobs
Chao Zhou
R. Burkholz
OffRLAI4CE
74
1
0
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Hadamard product in deep learning: Introduction, Advances and Challenges
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Grigorios G. Chrysos
Yongtao Wu
Razvan Pascanu
Philip Torr
Volkan Cevher
AAML
165
2
0
17 Apr 2025
Multi-output Classification Framework and Frequency Layer Normalization for Compound Fault Diagnosis in Motor
Multi-output Classification Framework and Frequency Layer Normalization for Compound Fault Diagnosis in Motor
Wonjun Yi
Yong-Hwa Park
50
0
0
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Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach
Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach
Kien X. Nguyen
Bao Bach
Ilya Safro
56
1
0
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REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers
REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers
Xingjian Leng
Jaskirat Singh
Yunzhong Hou
Zhenchang Xing
Saining Xie
Liang Zheng
92
6
0
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Efficient Brain Tumor Segmentation Using a Dual-Decoder 3D U-Net with Attention Gates (DDUNet)
Efficient Brain Tumor Segmentation Using a Dual-Decoder 3D U-Net with Attention Gates (DDUNet)
Mohammad Mahdi Danesh Pajouh
56
0
0
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Reduction of Supervision for Biomedical Knowledge Discovery
Reduction of Supervision for Biomedical Knowledge Discovery
Christos Theodoropoulos
Andrei Catalin Coman
James Henderson
Marie-Francine Moens
48
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0
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crowd-hpo: Realistic Hyperparameter Optimization and Benchmarking for Learning from Crowds with Noisy Labels
crowd-hpo: Realistic Hyperparameter Optimization and Benchmarking for Learning from Crowds with Noisy Labels
M. Herde
Lukas Lührs
Denis Huseljic
Bernhard Sick
81
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