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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 / 11,067 papers shown
Title
RecConv: Efficient Recursive Convolutions for Multi-Frequency Representations
RecConv: Efficient Recursive Convolutions for Multi-Frequency Representations
Mingshu Zhao
Yi Luo
Yong Ouyang
100
0
0
01 Jul 2025
Incentivizing High-quality Participation From Federated Learning Agents
Incentivizing High-quality Participation From Federated Learning Agents
Jinlong Pang
Jiaheng Wei
Yifan Hua
Chen Qian
Yang Liu
FedML
7
0
0
20 Jun 2025
EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems
EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems
Dian Meng
Zhiguang Cao
Yaoxin Wu
Yaqing Hou
Hongwei Ge
Qiang Zhang
5
0
0
19 Jun 2025
From Pixels to CSI: Distilling Latent Dynamics For Efficient Wireless Resource Management
From Pixels to CSI: Distilling Latent Dynamics For Efficient Wireless Resource Management
Charbel Bou Chaaya
Abanoub M. Girgis
M. Bennis
5
0
0
19 Jun 2025
Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning
Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning
Roger Creus Castanyer
J. Obando-Ceron
Lu Li
Pierre-Luc Bacon
Glen Berseth
Aaron Courville
Pablo Samuel Castro
14
0
0
18 Jun 2025
When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class
When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class
Yujin Kim
H. Kim
Hyunwoo J.Kim
S. Kim
10
0
0
18 Jun 2025
Sequential Policy Gradient for Adaptive Hyperparameter Optimization
Sequential Policy Gradient for Adaptive Hyperparameter Optimization
Zheng Li
Jerry Q. Cheng
Huanying Gu
OffRL
10
0
0
18 Jun 2025
ResNets Are Deeper Than You Think
ResNets Are Deeper Than You Think
Christian H.X. Ali Mehmeti-Göpel
Michael Wand
15
0
0
17 Jun 2025
The Perception of Phase Intercept Distortion and its Application in Data Augmentation
The Perception of Phase Intercept Distortion and its Application in Data Augmentation
Venkatakrishnan Vaidyanathapuram Krishnan
Nathaniel Condit-Schultz
19
0
0
17 Jun 2025
Leveraging Vision-Language Pre-training for Human Activity Recognition in Still Images
Leveraging Vision-Language Pre-training for Human Activity Recognition in Still Images
Cristina Mahanta
Gagan Bhatia
VLM
11
0
0
16 Jun 2025
Unlearning-Enhanced Website Fingerprinting Attack: Against Backdoor Poisoning in Anonymous Networks
Unlearning-Enhanced Website Fingerprinting Attack: Against Backdoor Poisoning in Anonymous Networks
Yali Yuan
Kai Xu
Ruolin Ma
Yuchen Zhang
AAML
13
0
0
16 Jun 2025
Symmetry in Neural Network Parameter Spaces
Symmetry in Neural Network Parameter Spaces
Bo Zhao
Robin Walters
Rose Yu
7
0
0
16 Jun 2025
Mitigating Non-Target Speaker Bias in Guided Speaker Embedding
Mitigating Non-Target Speaker Bias in Guided Speaker Embedding
Shota Horiguchi
Takanori Ashihara
Marc Delcroix
Atsushi Ando
Naohiro Tawara
7
0
0
14 Jun 2025
Compression Aware Certified Training
Compression Aware Certified Training
Changming Xu
Gagandeep Singh
13
0
0
13 Jun 2025
FAD-Net: Frequency-Domain Attention-Guided Diffusion Network for Coronary Artery Segmentation using Invasive Coronary Angiography
FAD-Net: Frequency-Domain Attention-Guided Diffusion Network for Coronary Artery Segmentation using Invasive Coronary Angiography
Nan Mu
Ruiqi Song
Xiaoning Li
Zhihui Xu
Jingfeng Jiang
Chen Zhao
MedIm
64
0
0
13 Jun 2025
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning
Julius Berner
Miguel Liu-Schiaffini
Jean Kossaifi
Valentin Duruisseaux
Boris Bonev
Kamyar Azizzadenesheli
A. Anandkumar
AI4CE
113
0
0
12 Jun 2025
Starting Positions Matter: A Study on Better Weight Initialization for Neural Network Quantization
Starting Positions Matter: A Study on Better Weight Initialization for Neural Network Quantization
S. Yun
A. Wong
MQ
97
0
0
12 Jun 2025
Class-Incremental Learning for Honey Botanical Origin Classification with Hyperspectral Images: A Study with Continual Backpropagation
Class-Incremental Learning for Honey Botanical Origin Classification with Hyperspectral Images: A Study with Continual Backpropagation
Guyang Zhang
Waleed Abdulla
CLL
115
0
0
12 Jun 2025
Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation
Bowen Zheng
Tianming Yang
VLM
68
0
0
11 Jun 2025
Vector Representations of Vessel Trees
Vector Representations of Vessel Trees
James Batten
M. Schaap
Matthew Sinclair
Ying Bai
Ben Glocker
MedIm
21
0
0
11 Jun 2025
Structural-Spectral Graph Convolution with Evidential Edge Learning for Hyperspectral Image Clustering
Jianhan Qi
Yuheng Jia
Hui Liu
Junhui Hou
45
0
0
11 Jun 2025
Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings
Evan Markou
Thalaiyasingam Ajanthan
Stephen Gould
26
0
0
10 Jun 2025
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
Felix Wagner
Pramit Saha
Harry Anthony
J. A. Noble
Konstantinos Kamnitsas
OOD
13
0
0
10 Jun 2025
An Adaptive Method Stabilizing Activations for Enhanced Generalization
Hyunseok Seung
Jaewoo Lee
Hyunsuk Ko
ODL
21
0
0
10 Jun 2025
SurfR: Surface Reconstruction with Multi-scale Attention
Siddhant Ranade
Goncalo Dias Pais
Ross Tyler Whitaker
Jacinto C. Nascimento
Pedro Miraldo
Srikumar Ramalingam
3DPC3DV
16
0
0
10 Jun 2025
Superposed Parameterised Quantum Circuits
Viktoria Patapovich
Mo Kordzanganeh
A. Melnikov
18
0
0
10 Jun 2025
Using Satellite Images And Self-supervised Machine Learning Networks To Detect Water Hidden Under Vegetation
Ioannis Iakovidis
Zahra Kalantari
A. H. Payberah
Fernando Jaramillo
Francisco Pena Escobar
SSL
18
0
0
09 Jun 2025
SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense
Patryk Krukowski
Łukasz Gorczyca
Piotr Helm
Kamil Ksiazek
Przemysław Spurek
AAMLCLL
12
0
0
09 Jun 2025
A Layered Self-Supervised Knowledge Distillation Framework for Efficient Multimodal Learning on the Edge
A Layered Self-Supervised Knowledge Distillation Framework for Efficient Multimodal Learning on the Edge
Tarique Dahri
Zulfiqar Ali Memon
Zhenyu Yu
Mohd Yamani Idna Idris
Sheheryar Khan
Sadiq Ahmad
Maged Shoman
Saddam Aziz
Rizwan Qureshi
10
0
0
08 Jun 2025
Curvature Enhanced Data Augmentation for Regression
Curvature Enhanced Data Augmentation for Regression
Ilya Kaufman Sirot
Omri Azencot
15
0
0
07 Jun 2025
Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World
Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World
Qinting Jiang
Chuyang Ye
Dongyan Wei
B. Wang
Yuan Xue
Jingyan Jiang
Zhi Wang
OOD
13
0
0
07 Jun 2025
Data-Driven High-Dimensional Statistical Inference with Generative Models
Data-Driven High-Dimensional Statistical Inference with Generative Models
Oz Amram
Manuel Szewc
18
0
0
06 Jun 2025
Integer Binary-Range Alignment Neuron for Spiking Neural Networks
Integer Binary-Range Alignment Neuron for Spiking Neural Networks
Binghao Ye
Wenjuan Li
Dong Wang
Man Yao
Bing Li
Weiming Hu
Dong Liang
K. Shang
69
0
0
06 Jun 2025
NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity
NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity
Adrien Petralia
Philippe Charpentier
Youssef Kadhi
Themis Palpanas
38
0
0
06 Jun 2025
Comprehensive Attribute Encoding and Dynamic LSTM HyperModels for Outcome Oriented Predictive Business Process Monitoring
Comprehensive Attribute Encoding and Dynamic LSTM HyperModels for Outcome Oriented Predictive Business Process Monitoring
Fang Wang
Paolo Ceravolo
Ernesto Damiani
AI4TS
77
0
0
04 Jun 2025
Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning With Iterated Q-Learning
Théo Vincent
Yogesh Tripathi
Tim Lukas Faust
Yaniv Oren
Jan Peters
Carlo DÉramo
CLL
27
0
0
04 Jun 2025
Comparative Analysis of Fast and High-Fidelity Neural Vocoders for Low-Latency Streaming Synthesis in Resource-Constrained Environments
Comparative Analysis of Fast and High-Fidelity Neural Vocoders for Low-Latency Streaming Synthesis in Resource-Constrained Environments
Reo Yoneyama
Masaya Kawamura
Ryo Terashima
Ryuichi Yamamoto
Tomoki Toda
104
0
0
04 Jun 2025
Simple, Good, Fast: Self-Supervised World Models Free of Baggage
Simple, Good, Fast: Self-Supervised World Models Free of Baggage
Jan Robine
Marc Höftmann
Stefan Harmeling
DRLOCL
55
1
0
03 Jun 2025
A Dynamic Transformer Network for Vehicle Detection
A Dynamic Transformer Network for Vehicle Detection
Chunwei Tian
Kai Liu
Bob Zhang
Z. Huang
Chia-Wen Lin
David C. Zhang
ViT
47
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0
03 Jun 2025
Why Gradients Rapidly Increase Near the End of Training
Why Gradients Rapidly Increase Near the End of Training
Aaron Defazio
16
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0
02 Jun 2025
Quotient Network - A Network Similar to ResNet but Learning Quotients
Quotient Network - A Network Similar to ResNet but Learning Quotients
Peng Hui
Jiamuyang Zhao
Changxin Li
Qingzhen Zhu
OOD
25
0
0
01 Jun 2025
Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation
Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation
Xiaohan Wang
Yu Zhang
Guibin Jiang
Bing Cheng
Wei Lin
35
0
0
01 Jun 2025
Chameleon: A MatMul-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data
Chameleon: A MatMul-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data
Douwe den Blanken
Charlotte Frenkel
21
0
0
30 May 2025
Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees
Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees
Fu Luo
Yaoxin Wu
Zhi Zheng
Zhenkun Wang
51
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0
30 May 2025
CHIP: Chameleon Hash-based Irreversible Passport for Robust Deep Model Ownership Verification and Active Usage Control
CHIP: Chameleon Hash-based Irreversible Passport for Robust Deep Model Ownership Verification and Active Usage Control
Chaohui Xu
Qi Cui
Chip-Hong Chang
22
0
0
30 May 2025
Efficient Neural and Numerical Methods for High-Quality Online Speech Spectrogram Inversion via Gradient Theorem
Efficient Neural and Numerical Methods for High-Quality Online Speech Spectrogram Inversion via Gradient Theorem
Andres Fernandez
Juan Azcarreta
Cagdas Bilen
Jesus Monge Alvarez
22
0
0
30 May 2025
Multi-output Classification using a Cross-talk Architecture for Compound Fault Diagnosis of Motors in Partially Labeled Condition
Multi-output Classification using a Cross-talk Architecture for Compound Fault Diagnosis of Motors in Partially Labeled Condition
Wonjun Yi
Wonho Jung
Kangmin Jang
Yong-Hwa Park
18
0
0
29 May 2025
The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
Shiwei Li
Xiandi Luo
Haozhao Wang
Xing Tang
Shijie Xu
Weihong Luo
Yuhua Li
Xiuqiang He
Ruixuan Li
FedML
10
0
0
29 May 2025
Point-MoE: Towards Cross-Domain Generalization in 3D Semantic Segmentation via Mixture-of-Experts
Point-MoE: Towards Cross-Domain Generalization in 3D Semantic Segmentation via Mixture-of-Experts
Xuweiyi Chen
Wentao Zhou
Aruni RoyChowdhury
Zezhou Cheng
3DPC
44
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0
29 May 2025
How far away are truly hyperparameter-free learning algorithms?
How far away are truly hyperparameter-free learning algorithms?
Priya Kasimbeg
Vincent Roulet
Naman Agarwal
Sourabh Medapati
Fabian Pedregosa
Atish Agarwala
George E. Dahl
17
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0
29 May 2025
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