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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 / 11,282 papers shown
Title
Persistent Neurons
Persistent Neurons
Yimeng Min
36
0
0
02 Jul 2020
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Farshid Varno
Lucas May Petry
Lisa Di-Jorio
Stan Matwin
CLL
70
2
0
02 Jul 2020
Progressive Tandem Learning for Pattern Recognition with Deep Spiking
  Neural Networks
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks
Jibin Wu
Chenglin Xu
Daquan Zhou
Haizhou Li
Kay Chen Tan
67
118
0
02 Jul 2020
Learning to Segment from Scribbles using Multi-scale Adversarial
  Attention Gates
Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
83
5
0
02 Jul 2020
Channel Compression: Rethinking Information Redundancy among Channels in
  CNN Architecture
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture
Jinhua Liang
Tao Zhang
Guoqing Feng
48
18
0
02 Jul 2020
Grading video interviews with fairness considerations
Grading video interviews with fairness considerations
A. Singhania
Abhishek Unnam
V. Aggarwal
69
6
0
02 Jul 2020
Rethinking Channel Dimensions for Efficient Model Design
Rethinking Channel Dimensions for Efficient Model Design
Dongyoon Han
Sangdoo Yun
Byeongho Heo
Y. Yoo
3DV
94
86
0
02 Jul 2020
An encoder-decoder-based method for COVID-19 lung infection segmentation
An encoder-decoder-based method for COVID-19 lung infection segmentation
O. Elharrouss
Nandhini Subramanian
S. Al-Maadeed
86
36
0
02 Jul 2020
Deep Learning Methods for Universal MISO Beamforming
Deep Learning Methods for Universal MISO Beamforming
Junbeom Kim
Hoon Lee
Seung‐Eun Hong
Seok-Hwan Park
48
54
0
02 Jul 2020
A Survey on Self-supervised Pre-training for Sequential Transfer
  Learning in Neural Networks
A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks
H. H. Mao
BDLSSL
72
50
0
01 Jul 2020
Swapping Autoencoder for Deep Image Manipulation
Swapping Autoencoder for Deep Image Manipulation
Taesung Park
Jun-Yan Zhu
Oliver Wang
Jingwan Lu
Eli Shechtman
Alexei A. Efros
Richard Y. Zhang
176
337
0
01 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
163
549
0
01 Jul 2020
Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse
  Surgical Instrument Usage for Context-aware Assistance
Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance
Dominik Rivoir
S. Bodenstedt
Isabel Funke
F. Bechtolsheim
Marius Distler
Jürgen Weitz
Stefanie Speidel
142
25
0
01 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural
  Networks with Replay Processes
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
CLL
85
22
0
01 Jul 2020
Adaptive Procedural Task Generation for Hard-Exploration Problems
Adaptive Procedural Task Generation for Hard-Exploration Problems
Kuan Fang
Yuke Zhu
Silvio Savarese
Li Fei-Fei
78
26
0
01 Jul 2020
BiO-Net: Learning Recurrent Bi-directional Connections for
  Encoder-Decoder Architecture
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture
Tiange Xiang
Chaoyi Zhang
Dongnan Liu
Yang Song
Heng-Chiao Huang
Weidong (Tom) Cai
SSeg
70
82
0
01 Jul 2020
Personalization of Hearing Aid Compression by Human-In-Loop Deep
  Reinforcement Learning
Personalization of Hearing Aid Compression by Human-In-Loop Deep Reinforcement Learning
N. Alamdari
E. Lobarinas
N. Kehtarnavaz
36
18
0
01 Jul 2020
Group Equivariant Deep Reinforcement Learning
Group Equivariant Deep Reinforcement Learning
Arnab Kumar Mondal
Pratheeksha Nair
Kaleem Siddiqi
63
34
0
01 Jul 2020
Regularly Updated Deterministic Policy Gradient Algorithm
Regularly Updated Deterministic Policy Gradient Algorithm
Shuai Han
Wenbo Zhou
Shuai Lu
Jiayu Yu
27
22
0
01 Jul 2020
Subject-Aware Contrastive Learning for Biosignals
Subject-Aware Contrastive Learning for Biosignals
Joseph Y. Cheng
Hanlin Goh
Kaan Dogrusoz
Oncel Tuzel
Erdrin Azemi
SSL
70
112
0
30 Jun 2020
Semantic Segmentation With Multi Scale Spatial Attention For Self
  Driving Cars
Semantic Segmentation With Multi Scale Spatial Attention For Self Driving Cars
Abhinav Sagar
Rajkumar Soundrapandiyan
SSeg
104
31
0
30 Jun 2020
Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming
Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming
Hamed Hojatian
Jérémy Nadal
J. Frigon
François Leduc-Primeau
44
76
0
30 Jun 2020
Deep Isometric Learning for Visual Recognition
Deep Isometric Learning for Visual Recognition
Haozhi Qi
Chong You
Xinyu Wang
Yi-An Ma
Jitendra Malik
VLM
102
55
0
30 Jun 2020
Improving robustness against common corruptions by covariate shift
  adaptation
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
112
486
0
30 Jun 2020
You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing
  Neural Network
You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network
Boyun Li
Yuanbiao Gou
Shuhang Gu
Jerry Liu
Qiufeng Wang
Xi Peng
78
205
0
30 Jun 2020
Early Exit or Not: Resource-Efficient Blind Quality Enhancement for
  Compressed Images
Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images
Qunliang Xing
Mai Xu
Tianyi Li
Zhenyu Guan
95
51
0
30 Jun 2020
Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing
  GPUs
Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing GPUs
Ang Li
Simon Su
MQ
85
35
0
30 Jun 2020
Hand-drawn Symbol Recognition of Surgical Flowsheet Graphs with Deep
  Image Segmentation
Hand-drawn Symbol Recognition of Surgical Flowsheet Graphs with Deep Image Segmentation
W. Adorno
Angela Yi
Marcel Durieux
Donald Brown
13
4
0
30 Jun 2020
Efficient Continuous Pareto Exploration in Multi-Task Learning
Efficient Continuous Pareto Exploration in Multi-Task Learning
Pingchuan Ma
Tao Du
Wojciech Matusik
82
90
0
29 Jun 2020
VAE-KRnet and its applications to variational Bayes
VAE-KRnet and its applications to variational Bayes
Xiaoliang Wan
Shuangqing Wei
BDLDRL
93
13
0
29 Jun 2020
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for
  Vehicle Type, Make and Model Classification
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for Vehicle Type, Make and Model Classification
Xingyang Ni
H. Huttunen
CVBM
43
20
0
29 Jun 2020
Ultra2Speech -- A Deep Learning Framework for Formant Frequency
  Estimation and Tracking from Ultrasound Tongue Images
Ultra2Speech -- A Deep Learning Framework for Formant Frequency Estimation and Tracking from Ultrasound Tongue Images
Pramit Saha
Yadong Liu
B. Gick
S. Fels
39
12
0
29 Jun 2020
Multi-Partition Embedding Interaction with Block Term Format for
  Knowledge Graph Completion
Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion
Hung Nghiep Tran
Atsuhiro Takasu
52
9
0
29 Jun 2020
Data-Driven Discovery of Molecular Photoswitches with Multioutput Gaussian Processes
Ryan-Rhys Griffiths
Jake L. Greenfield
Aditya R. Thawani
Arian R. Jamasb
Henry B. Moss
Anthony Bourached
Penelope Jones
William McCorkindale
Alexander A. Aldrick
Matthew J. Fuchter Alpha A. Lee
100
14
0
28 Jun 2020
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial
  Imitation Learning
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning
Lionel Blondé
Pablo Strasser
Alexandros Kalousis
90
22
0
28 Jun 2020
A Survey on Instance Segmentation: State of the art
A Survey on Instance Segmentation: State of the art
A. M. Hafiz
G. M. Bhat
SSegISeg
100
442
0
28 Jun 2020
SAR Image Despeckling by Deep Neural Networks: from a pre-trained model
  to an end-to-end training strategy
SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy
Emanuele Dalsasso
Xiangli Yang
L. Denis
F. Tupin
Wen Yang
94
55
0
28 Jun 2020
Enhancement of a CNN-Based Denoiser Based on Spatial and Spectral
  Analysis
Enhancement of a CNN-Based Denoiser Based on Spatial and Spectral Analysis
Rui Zhao
K. Lam
D. Lun
59
8
0
28 Jun 2020
1st Place Solution for Waymo Open Dataset Challenge -- 3D Detection and
  Domain Adaptation
1st Place Solution for Waymo Open Dataset Challenge -- 3D Detection and Domain Adaptation
Zhuangzhuang Ding
Yihan Hu
Runzhou Ge
Li Huang
Sijia Chen
Yu Wang
Jie Liao
3DPC
76
28
0
28 Jun 2020
Video Representation Learning with Visual Tempo Consistency
Video Representation Learning with Visual Tempo Consistency
Ceyuan Yang
Yinghao Xu
Bo Dai
Bolei Zhou
68
92
0
28 Jun 2020
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy
Lu Liu
Dinesh Manocha
Guodong Long
Jing Jiang
Chengqi Zhang
72
28
0
28 Jun 2020
SimGANs: Simulator-Based Generative Adversarial Networks for ECG
  Synthesis to Improve Deep ECG Classification
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
Tomer Golany
Daniel Freedman
Kira Radinsky
GAN
57
71
0
27 Jun 2020
On the Generalization Benefit of Noise in Stochastic Gradient Descent
On the Generalization Benefit of Noise in Stochastic Gradient Descent
Samuel L. Smith
Erich Elsen
Soham De
MLT
62
100
0
26 Jun 2020
A Loss Function for Generative Neural Networks Based on Watson's
  Perceptual Model
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
Steffen Czolbe
Oswin Krause
Ingemar Cox
Christian Igel
GAN
86
49
0
26 Jun 2020
Supermasks in Superposition
Supermasks in Superposition
Mitchell Wortsman
Vivek Ramanujan
Rosanne Liu
Aniruddha Kembhavi
Mohammad Rastegari
J. Yosinski
Ali Farhadi
SSLCLL
133
298
0
26 Jun 2020
Deepfake Detection using Spatiotemporal Convolutional Networks
Deepfake Detection using Spatiotemporal Convolutional Networks
Oscar de Lima
Sean Franklin
Shreshtha Basu
Blake Karwoski
A. George
3DPC
78
114
0
26 Jun 2020
The Gaussian equivalence of generative models for learning with shallow
  neural networks
The Gaussian equivalence of generative models for learning with shallow neural networks
Sebastian Goldt
Bruno Loureiro
Galen Reeves
Florent Krzakala
M. Mézard
Lenka Zdeborová
BDL
114
107
0
25 Jun 2020
Global Convergence and Generalization Bound of Gradient-Based
  Meta-Learning with Deep Neural Nets
Global Convergence and Generalization Bound of Gradient-Based Meta-Learning with Deep Neural Nets
Haoxiang Wang
Ruoyu Sun
Bo Li
MLTAI4CE
95
14
0
25 Jun 2020
Tensor Programs II: Neural Tangent Kernel for Any Architecture
Tensor Programs II: Neural Tangent Kernel for Any Architecture
Greg Yang
146
139
0
25 Jun 2020
Deep Residual 3D U-Net for Joint Segmentation and Texture Classification
  of Nodules in Lung
Deep Residual 3D U-Net for Joint Segmentation and Texture Classification of Nodules in Lung
Alexandr G. Rassadin
MedIm
88
8
0
25 Jun 2020
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