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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 / 11,264 papers shown
Title
For SALE: State-Action Representation Learning for Deep Reinforcement
  Learning
For SALE: State-Action Representation Learning for Deep Reinforcement Learning
Scott Fujimoto
Wei-Di Chang
Edward James Smith
S. Gu
Doina Precup
David Meger
OffRL
109
55
0
04 Jun 2023
Active Inference-Based Optimization of Discriminative Neural Network
  Classifiers
Active Inference-Based Optimization of Discriminative Neural Network Classifiers
Faezeh Fallah
60
0
0
04 Jun 2023
Biologically-Motivated Learning Model for Instructed Visual Processing
Biologically-Motivated Learning Model for Instructed Visual Processing
R. Abel
S. Ullman
74
0
0
04 Jun 2023
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for
  Multivariate Time Series Forecasting Dependency for Multivariate Time Series
  Forecasting
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting
Donghao Luo
Xue Wang
BDLAI4TS
84
2
0
04 Jun 2023
Deep Classifier Mimicry without Data Access
Deep Classifier Mimicry without Data Access
Steven Braun
Martin Mundt
Kristian Kersting
DiffM
77
4
0
03 Jun 2023
Efficient Spoken Language Recognition via Multilabel Classification
Efficient Spoken Language Recognition via Multilabel Classification
Oriol Nieto
Zeyu Jin
Franck Dernoncourt
Justin Salamon
60
1
0
02 Jun 2023
Two-View Geometry Scoring Without Correspondences
Two-View Geometry Scoring Without Correspondences
Axel Barroso-Laguna
Eric Brachmann
V. Prisacariu
Gabriel J. Brostow
Daniyar Turmukhambetov
73
13
0
02 Jun 2023
Probabilistic Concept Bottleneck Models
Probabilistic Concept Bottleneck Models
Eunji Kim
Dahuin Jung
Sangha Park
Siwon Kim
Sung-Hoon Yoon
143
72
0
02 Jun 2023
A Feature Reuse Framework with Texture-adaptive Aggregation for
  Reference-based Super-Resolution
A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution
Xiaoyong Mei
Yi Yang
Ming Li
Changqin Huang
Kai Zhang
Pietro Lio
61
4
0
02 Jun 2023
LLMatic: Neural Architecture Search via Large Language Models and
  Quality Diversity Optimization
LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization
Muhammad Umair Nasir
Sam Earle
C. Cleghorn
Steven D. James
Julian Togelius
172
61
0
01 Jun 2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual
  Representation Learners
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
Yonglong Tian
Lijie Fan
Phillip Isola
Huiwen Chang
Dilip Krishnan
VLMDiffM
156
153
0
01 Jun 2023
Initial Guessing Bias: How Untrained Networks Favor Some Classes
Initial Guessing Bias: How Untrained Networks Favor Some Classes
Emanuele Francazi
Aurelien Lucchi
Marco Baity-Jesi
AI4CE
83
4
0
01 Jun 2023
Data Interpolants -- That's What Discriminators in Higher-order
  Gradient-regularized GANs Are
Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are
Siddarth Asokan
C. Seelamantula
78
4
0
01 Jun 2023
On the Weight Dynamics of Deep Normalized Networks
On the Weight Dynamics of Deep Normalized Networks
Christian H. X. Ali Mehmeti-Göpel
Michael Wand
93
2
0
01 Jun 2023
Stuttering Detection Using Speaker Representations and Self-supervised
  Contextual Embeddings
Stuttering Detection Using Speaker Representations and Self-supervised Contextual Embeddings
S. A. Sheikh
Md. Sahidullah
F. Hirsch
Slim Ouni
71
6
0
01 Jun 2023
Normalization Enhances Generalization in Visual Reinforcement Learning
Normalization Enhances Generalization in Visual Reinforcement Learning
Lu Li
Jiafei Lyu
Guozheng Ma
Zilin Wang
Zhen Yang
Xiu Li
Zhiheng Li
OOD
92
10
0
01 Jun 2023
Rotating Features for Object Discovery
Rotating Features for Object Discovery
Sindy Löwe
Phillip Lippe
Francesco Locatello
Max Welling
OCL
137
28
0
01 Jun 2023
Reconstructing Graph Diffusion History from a Single Snapshot
Reconstructing Graph Diffusion History from a Single Snapshot
Ruizhong Qiu
Dingsu Wang
Lei Ying
H. Vincent Poor
Yifang Zhang
Hanghang Tong
DiffM
103
7
0
01 Jun 2023
Towards Interactive Image Inpainting via Sketch Refinement
Towards Interactive Image Inpainting via Sketch Refinement
Chang-Shu Liu
Shunxin Xu
Jialun Peng
Kaiwen Zhang
Dong Liu
106
3
0
01 Jun 2023
Symmetric Uncertainty-Aware Feature Transmission for Depth
  Super-Resolution
Symmetric Uncertainty-Aware Feature Transmission for Depth Super-Resolution
Wuxuan Shi
Mang Ye
Bo Du
100
18
0
01 Jun 2023
HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking
  Learning-Based Hyperspectral Image Compression Methods
HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods
Martin Hermann Paul Fuchs
Begüm Demir
44
20
0
01 Jun 2023
Maximizing Information in Domain-Invariant Representation Improves Transfer Learning
Maximizing Information in Domain-Invariant Representation Improves Transfer Learning
A. Li
Elisa Bertino
Xuan-Hong Dang
Ankush Singla
Yuhai Tu
M. Wegman
OOD
76
1
0
01 Jun 2023
Physics-informed machine learning of redox flow battery based on a
  two-dimensional unit cell model
Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model
Wenqian Chen
Yu-Hang Fu
P. Stinis
PINN
80
12
0
31 May 2023
Self-supervised Vision Transformers for 3D Pose Estimation of Novel
  Objects
Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objects
S. Thalhammer
Jean-Baptiste Weibel
Markus Vincze
Jose Garcia-Rodriguez
ViT
96
10
0
31 May 2023
Towards Fair Disentangled Online Learning for Changing Environments
Towards Fair Disentangled Online Learning for Changing Environments
Chenxu Zhao
Feng Mi
Xintao Wu
Kai Jiang
Latifur Khan
Christan Earl Grant
Feng Chen
72
15
0
31 May 2023
Adam Accumulation to Reduce Memory Footprints of both Activations and
  Gradients for Large-scale DNN Training
Adam Accumulation to Reduce Memory Footprints of both Activations and Gradients for Large-scale DNN Training
Yijia Zhang
Yibo Han
Shijie Cao
Guohao Dai
Youshan Miao
Ting Cao
Fan Yang
Ningyi Xu
59
4
0
31 May 2023
One shot learning based drivers head movement identification using a
  millimetre wave radar sensor
One shot learning based drivers head movement identification using a millimetre wave radar sensor
Hong Nhung Nguyen
Seongwook Lee
Tien-Tung Nguyen
Yong-Hwa Kim
23
7
0
31 May 2023
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded
  Normalization
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization
Kaixuan Chen
Shunyu Liu
Tongtian Zhu
Tongya Zheng
Haofei Zhang
Zunlei Feng
Jingwen Ye
Mingli Song
135
16
0
31 May 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed
  on Orbits
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits
Zhuokai Zhao
Takumi Matsuzawa
W. Irvine
Michael Maire
G. Kindlmann
95
2
0
31 May 2023
Power Control with QoS Guarantees: A Differentiable Projection-based
  Unsupervised Learning Framework
Power Control with QoS Guarantees: A Differentiable Projection-based Unsupervised Learning Framework
Mehrazin Alizadeh
Hina Tabassum
33
11
0
31 May 2023
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN
Yang‐Zhi Hu
Qian Zheng
Xudong Jiang
Gang Pan
MQ
84
53
0
31 May 2023
CVSNet: A Computer Implementation for Central Visual System of The Brain
CVSNet: A Computer Implementation for Central Visual System of The Brain
Ruimin Gao
Hao-Li Zou
Zhekai Duan
77
3
0
31 May 2023
Incremental Learning for Heterogeneous Structure Segmentation in Brain
  Tumor MRI
Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI
Xiaofeng Liu
Helen A. Shih
Fangxu Xing
E. Santarnecchi
Xiaofeng Liu
Jonghye Woo
CLL
89
5
0
30 May 2023
Approximate Bayesian Class-Conditional Models under Continuous
  Representation Shift
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift
Thomas L. Lee
Amos Storkey
BDL
86
4
0
30 May 2023
One-Line-of-Code Data Mollification Improves Optimization of
  Likelihood-based Generative Models
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
Ba-Hien Tran
Giulio Franzese
Pietro Michiardi
Maurizio Filippone
DiffM
134
4
0
30 May 2023
AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on
  Anomalies
AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on Anomalies
Yixuan Zhou
Peiyu Yang
Yi Qu
Xing Xu
Zhe Sun
Andrzej Cichocki
82
3
0
30 May 2023
ShuffleMix: Improving Representations via Channel-Wise Shuffle of
  Interpolated Hidden States
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States
Kang Liu
Ke Chen
Lihua Guo
Yaowei Wang
Kui Jia
89
0
0
30 May 2023
Improving Deep Representation Learning via Auxiliary Learnable Target
  Coding
Improving Deep Representation Learning via Auxiliary Learnable Target Coding
Kang Liu
Ke Chen
Yaowei Wang
Kui Jia
90
1
0
30 May 2023
Global Layers: Non-IID Tabular Federated Learning
Global Layers: Non-IID Tabular Federated Learning
Yazan Obeidi
FedML
101
0
0
29 May 2023
Pix2Repair: Implicit Shape Restoration from Images
Pix2Repair: Implicit Shape Restoration from Images
Xinchao Song
N. Lamb
Sean Banerjee
N. Banerjee
3DV
79
0
0
29 May 2023
A Rainbow in Deep Network Black Boxes
A Rainbow in Deep Network Black Boxes
Florentin Guth
Brice Ménard
G. Rochette
S. Mallat
114
12
0
29 May 2023
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray
  Classification
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification
Bin Wang
Hongyi Pan
Armstrong Aboah
Zheyu Zhang
Elif Keles
Drew Torigian
Baris Turkbey
Elizabeth A. Krupinski
Jayaram K. Udupa
Ulas Bagci
115
25
0
29 May 2023
Generative Adversarial Networks based Skin Lesion Segmentation
Generative Adversarial Networks based Skin Lesion Segmentation
S. Innani
Prasad Dutande
Ujjwal Baid
Venu Pokuri
Spyridon Bakas
Sanjay Talbar
Bhakti Baheti
Sharath Chandra Guntuku
GANMedIm
72
11
0
29 May 2023
Pre-training Contextualized World Models with In-the-wild Videos for
  Reinforcement Learning
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning
Jialong Wu
Haoyu Ma
Chao Deng
Mingsheng Long
OffRL
84
33
0
29 May 2023
Deep Predictive Coding with Bi-directional Propagation for
  Classification and Reconstruction
Deep Predictive Coding with Bi-directional Propagation for Classification and Reconstruction
Senhui Qiu
S. Bhattacharyya
Damien Coyle
Shirin Dora
59
2
0
29 May 2023
Intelligent gradient amplification for deep neural networks
Intelligent gradient amplification for deep neural networks
S. Basodi
K. Pusuluri
Xueli Xiao
Yi Pan
ODL
40
1
0
29 May 2023
Determinantal Point Process Attention Over Grid Cell Code Supports Out
  of Distribution Generalization
Determinantal Point Process Attention Over Grid Cell Code Supports Out of Distribution Generalization
S. S. Mondal
Steven M. Frankland
Taylor Webb
Jonathan D. Cohen
88
1
0
28 May 2023
Examining the Role and Limits of Batchnorm Optimization to Mitigate
  Diverse Hardware-noise in In-memory Computing
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing
Abhiroop Bhattacharjee
Abhishek Moitra
Youngeun Kim
Yeshwanth Venkatesha
Priyadarshini Panda
51
9
0
28 May 2023
T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for
  OOD Detection
T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection
Sudarshan Regmi
Bibek Panthi
S. Dotel
P. Gyawali
Danail Stoynov
Binod Bhattarai
OODD
54
3
0
28 May 2023
On the impact of activation and normalization in obtaining isometric
  embeddings at initialization
On the impact of activation and normalization in obtaining isometric embeddings at initialization
Amir Joudaki
Hadi Daneshmand
Francis R. Bach
55
10
0
28 May 2023
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