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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 / 11,200 papers shown
Title
A Deep-Learning Technique to Locate Cryptographic Operations in
  Side-Channel Traces
A Deep-Learning Technique to Locate Cryptographic Operations in Side-Channel Traces
Giuseppe Chiari
Davide Galli
Francesco Lattari
Matteo Matteucci
Davide Zoni
AAML
29
5
0
29 Feb 2024
Training-set-free two-stage deep learning for spectroscopic data
  de-noising
Training-set-free two-stage deep learning for spectroscopic data de-noising
Dongchen Huang
Junde Liu
Tian Qian
Hongming Weng
57
0
0
29 Feb 2024
Disentangling the Causes of Plasticity Loss in Neural Networks
Disentangling the Causes of Plasticity Loss in Neural Networks
Clare Lyle
Zeyu Zheng
Khimya Khetarpal
H. V. Hasselt
Razvan Pascanu
James Martens
Will Dabney
AI4CE
130
38
0
29 Feb 2024
Learning Associative Memories with Gradient Descent
Learning Associative Memories with Gradient Descent
Vivien A. Cabannes
Berfin Simsek
A. Bietti
88
8
0
28 Feb 2024
GNSS Positioning using Cost Function Regulated Multilateration and Graph
  Neural Networks
GNSS Positioning using Cost Function Regulated Multilateration and Graph Neural Networks
Amir Jalalirad
Davide Belli
Bence Major
Songwon Jee
Himanshu Shah
Will Morrison
58
1
0
28 Feb 2024
Phase autoencoder for limit-cycle oscillators
Phase autoencoder for limit-cycle oscillators
K. Yawata
Kai Fukami
Kunihiko Taira
Hiroya Nakao
126
9
0
28 Feb 2024
Artificial Intelligence and Diabetes Mellitus: An Inside Look Through
  the Retina
Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina
Yasin Sadeghi Bazargani
Majid Mirzaei
Navid Sobhi
M. Abdollahi
Ali Jafarizadeh
Siamak Pedrammehr
R. Alizadehsani
R. Tan
Sheikh Mohammad Shariful Islam
U. R. Acharya
74
5
0
28 Feb 2024
Variational Learning is Effective for Large Deep Networks
Variational Learning is Effective for Large Deep Networks
Yuesong Shen
Nico Daheim
Bai Cong
Peter Nickl
Gian Maria Marconi
...
Rio Yokota
Iryna Gurevych
Daniel Cremers
Mohammad Emtiyaz Khan
Thomas Möllenhoff
91
31
0
27 Feb 2024
Advancing sleep detection by modelling weak label sets: A novel weakly
  supervised learning approach
Advancing sleep detection by modelling weak label sets: A novel weakly supervised learning approach
M. Boeker
Vajira Thambawita
Michael Riegler
Pål Halvorsen
Hugo Lewi Hammer
40
0
0
27 Feb 2024
A Curious Case of Remarkable Resilience to Gradient Attacks via Fully
  Convolutional and Differentiable Front End with a Skip Connection
A Curious Case of Remarkable Resilience to Gradient Attacks via Fully Convolutional and Differentiable Front End with a Skip Connection
Leonid Boytsov
Ameya Joshi
Filipe Condessa
AAML
48
0
0
26 Feb 2024
DRSI-Net: Dual-Residual Spatial Interaction Network for Multi-Person
  Pose Estimation
DRSI-Net: Dual-Residual Spatial Interaction Network for Multi-Person Pose Estimation
Shang Wu
Bin Wang
89
3
0
26 Feb 2024
Towards Accurate Post-training Quantization for Reparameterized Models
Towards Accurate Post-training Quantization for Reparameterized Models
Luoming Zhang
Yefei He
Wen Fei
Zhenyu Lou
Weijia Wu
YangWei Ying
Hong Zhou
MQ
75
0
0
25 Feb 2024
Spectrum Extraction and Clipping for Implicitly Linear Layers
Spectrum Extraction and Clipping for Implicitly Linear Layers
A. Boroojeny
Matus Telgarsky
Hari Sundaram
MLT
96
5
0
25 Feb 2024
Model Compression Method for S4 with Diagonal State Space Layers using
  Balanced Truncation
Model Compression Method for S4 with Diagonal State Space Layers using Balanced Truncation
Haruka Ezoe
Kazuhiro Sato
61
0
0
25 Feb 2024
Reward Design for Justifiable Sequential Decision-Making
Reward Design for Justifiable Sequential Decision-Making
A. Sukovic
Goran Radanović
52
0
0
24 Feb 2024
Deep Networks Always Grok and Here is Why
Deep Networks Always Grok and Here is Why
Ahmed Imtiaz Humayun
Randall Balestriero
Richard Baraniuk
AAMLOODAI4CE
121
25
0
23 Feb 2024
On normalization-equivariance properties of supervised and unsupervised
  denoising methods: a survey
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey
Sébastien Herbreteau
Charles Kervrann
OOD
80
0
0
23 Feb 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
Futa Waseda
Ching-Chun Chang
Isao Echizen
AAML
143
0
0
22 Feb 2024
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning
  for Medical Image Segmentation
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation
Jamshid Hassanpour
V. Srivastav
Didier Mutter
N. Padoy
SSL
82
2
0
22 Feb 2024
High-Speed Detector For Low-Powered Devices In Aerial Grasping
High-Speed Detector For Low-Powered Devices In Aerial Grasping
Ashish Kumar
Laxmidhar Behera
53
2
0
22 Feb 2024
Moonwalk: Inverse-Forward Differentiation
Moonwalk: Inverse-Forward Differentiation
Dmitrii Krylov
Armin Karamzade
Roy Fox
45
1
0
22 Feb 2024
Bias correction of wind power forecasts with SCADA data and continuous
  learning
Bias correction of wind power forecasts with SCADA data and continuous learning
Stefan Jonas
Kevin Winter
B. Brodbeck
Angela Meyer
36
1
0
21 Feb 2024
How do Hyenas deal with Human Speech? Speech Recognition and Translation
  with ConfHyena
How do Hyenas deal with Human Speech? Speech Recognition and Translation with ConfHyena
Marco Gaido
Sara Papi
Matteo Negri
L. Bentivogli
100
1
0
20 Feb 2024
WhaleNet: a Novel Deep Learning Architecture for Marine Mammals
  Vocalizations on Watkins Marine Mammal Sound Database
WhaleNet: a Novel Deep Learning Architecture for Marine Mammals Vocalizations on Watkins Marine Mammal Sound Database
Alessandro Licciardi
Davide Carbone Politecnico di Torino
69
4
0
20 Feb 2024
Gaussian Process Neural Additive Models
Gaussian Process Neural Additive Models
Wei Zhang
Brian Barr
John Paisley
MedImBDL
41
7
0
19 Feb 2024
In value-based deep reinforcement learning, a pruned network is a good
  network
In value-based deep reinforcement learning, a pruned network is a good network
J. Obando-Ceron
Rameswar Panda
Pablo Samuel Castro
OffRL
119
26
0
19 Feb 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization
  Bounds with Complexity Measures
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures
Paul Viallard
Rémi Emonet
Amaury Habrard
Emilie Morvant
Valentina Zantedeschi
116
3
0
19 Feb 2024
Stochastic Hessian Fittings with Lie Groups
Stochastic Hessian Fittings with Lie Groups
Xi-Lin Li
144
1
0
19 Feb 2024
Maintaining Adversarial Robustness in Continuous Learning
Maintaining Adversarial Robustness in Continuous Learning
Xiaolei Ru
Xiaowei Cao
Zijia Liu
Jack Murdoch Moore
Xin-Ya Zhang
Xia Zhu
Wenjia Wei
Gang Yan
AAML
71
4
0
17 Feb 2024
DeepSRGM -- Sequence Classification and Ranking in Indian Classical
  Music with Deep Learning
DeepSRGM -- Sequence Classification and Ranking in Indian Classical Music with Deep Learning
Sathwik Tejaswi Madhusudhan
Girish Chowdhary
31
18
0
15 Feb 2024
Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for
  Single Image Test-Time Adaptation
Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation
Haoyu Dong
Nicholas Konz
Han Gu
Maciej A. Mazurowski
OOD
99
5
0
14 Feb 2024
HyCubE: Efficient Knowledge Hypergraph 3D Circular Convolutional
  Embedding
HyCubE: Efficient Knowledge Hypergraph 3D Circular Convolutional Embedding
Zhao Li
Xin Wang
Jun Zhao
Wenbin Guo
Jianxin Li
55
2
0
14 Feb 2024
Optimal feature rescaling in machine learning based on neural networks
Optimal feature rescaling in machine learning based on neural networks
Federico Maria Vitro
Manrco Leonesio
Lorenzo Fagiano
AI4CE
34
0
0
13 Feb 2024
Latent space configuration for improved generalization in supervised
  autoencoder neural networks
Latent space configuration for improved generalization in supervised autoencoder neural networks
Nikita Gabdullin
DRL
67
1
0
13 Feb 2024
Conditional Information Gain Trellis
Conditional Information Gain Trellis
Ufuk Can Biçici
Tuna Han Salih Meral
L. Akarun
45
2
0
13 Feb 2024
The Paradox of Motion: Evidence for Spurious Correlations in
  Skeleton-based Gait Recognition Models
The Paradox of Motion: Evidence for Spurious Correlations in Skeleton-based Gait Recognition Models
Andy Catruna
Adrian Cosma
I. Radoi
CVBM
77
3
0
13 Feb 2024
Towards Meta-Pruning via Optimal Transport
Towards Meta-Pruning via Optimal Transport
Alexander Theus
Olin Geimer
Friedrich Wicke
Thomas Hofmann
Sotiris Anagnostidis
Sidak Pal Singh
MoMe
86
4
0
12 Feb 2024
Supervised Reconstruction for Silhouette Tomography
Supervised Reconstruction for Silhouette Tomography
Evan Bell
Michael T. McCann
M. Klasky
29
0
0
11 Feb 2024
Outlier-Aware Training for Low-Bit Quantization of Structural
  Re-Parameterized Networks
Outlier-Aware Training for Low-Bit Quantization of Structural Re-Parameterized Networks
Muqun Niu
Yuan Ren
Boyu Li
Chenchen Ding
BDLMQ
60
0
0
11 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning
FedImpro: Measuring and Improving Client Update in Federated Learning
Zhenheng Tang
Yonggang Zhang
Shaoshuai Shi
Xinmei Tian
Tongliang Liu
Bo Han
Xiaowen Chu
FedML
86
17
0
10 Feb 2024
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised
  Representation Learning
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning
Mahdi Naseri
Mahdi Biparva
SSL
74
0
0
09 Feb 2024
SAE: Single Architecture Ensemble Neural Networks
SAE: Single Architecture Ensemble Neural Networks
Martin Ferianc
Hongxiang Fan
Miguel R. D. Rodrigues
UQCV
55
0
0
09 Feb 2024
How Uniform Random Weights Induce Non-uniform Bias: Typical
  Interpolating Neural Networks Generalize with Narrow Teachers
How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
G. Buzaglo
I. Harel
Mor Shpigel Nacson
Alon Brutzkus
Nathan Srebro
Daniel Soudry
128
7
0
09 Feb 2024
Descriptive Kernel Convolution Network with Improved Random Walk Kernel
Descriptive Kernel Convolution Network with Improved Random Walk Kernel
Meng-Chieh Lee
Lingxiao Zhao
Leman Akoglu
68
3
0
08 Feb 2024
Efficient Stagewise Pretraining via Progressive Subnetworks
Efficient Stagewise Pretraining via Progressive Subnetworks
Abhishek Panigrahi
Nikunj Saunshi
Kaifeng Lyu
Sobhan Miryoosefi
Sashank J. Reddi
Satyen Kale
Sanjiv Kumar
65
6
0
08 Feb 2024
Jacquard V2: Refining Datasets using the Human In the Loop Data
  Correction Method
Jacquard V2: Refining Datasets using the Human In the Loop Data Correction Method
Qiuhao Li
Shenghai Yuan
72
5
0
08 Feb 2024
Binding Dynamics in Rotating Features
Binding Dynamics in Rotating Features
Sindy Löwe
Francesco Locatello
Max Welling
OCL
76
3
0
08 Feb 2024
Neural Circuit Diagrams: Robust Diagrams for the Communication,
  Implementation, and Analysis of Deep Learning Architectures
Neural Circuit Diagrams: Robust Diagrams for the Communication, Implementation, and Analysis of Deep Learning Architectures
Vincent Abbott
80
6
0
08 Feb 2024
On the Effect of Image Resolution on Semantic Segmentation
On the Effect of Image Resolution on Semantic Segmentation
Ritambhara Singh
Abhishek Jain
Pietro Perona
Shivani Agarwal
Junfeng Yang
SSeg
61
1
0
08 Feb 2024
Reduced-order modeling of unsteady fluid flow using neural network
  ensembles
Reduced-order modeling of unsteady fluid flow using neural network ensembles
Rakesh Halder
Mohammadmehdi Ataei
H. Salehipour
Krzysztof J. Fidkowski
Kevin J. Maki
AI4CE
70
6
0
08 Feb 2024
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