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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
Improving the Backpropagation Algorithm with Consequentialism Weight
  Updates over Mini-Batches
Improving the Backpropagation Algorithm with Consequentialism Weight Updates over Mini-Batches
Naeem Paeedeh
Kamaledin Ghiasi-Shirazi
ODL
62
8
0
11 Mar 2020
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality
  Assurance Methodology
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
Stefan Studer
T. Bui
C. Drescher
A. Hanuschkin
Ludwig Winkler
S. Peters
Klaus-Robert Muller
133
181
0
11 Mar 2020
ReZero is All You Need: Fast Convergence at Large Depth
ReZero is All You Need: Fast Convergence at Large Depth
Thomas C. Bachlechner
Bodhisattwa Prasad Majumder
H. H. Mao
G. Cottrell
Julian McAuley
AI4CE
110
283
0
10 Mar 2020
Deep Hough Transform for Semantic Line Detection
Deep Hough Transform for Semantic Line Detection
Kai Zhao
Qi Han
Chang-Bin Zhang
Jun Xu
Mingg-Ming Cheng
102
181
0
10 Mar 2020
Multi-level Context Gating of Embedded Collective Knowledge for Medical
  Image Segmentation
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation
Maryam Asadi-Aghbolaghi
Reza Azad
M. Fathy
Sergio Escalera
SSeg
130
61
0
10 Mar 2020
Channel Pruning via Optimal Thresholding
Channel Pruning via Optimal Thresholding
Yun Ye
Ganmei You
Jong-Kae Fwu
Xia Zhu
Q. Yang
Yuan Zhu
52
12
0
10 Mar 2020
3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
Kaixuan Wei
Ying Fu
Hua Huang
90
173
0
10 Mar 2020
Correlated Initialization for Correlated Data
Correlated Initialization for Correlated Data
Johannes Schneider
73
5
0
09 Mar 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Yinbo Chen
Zhuang Liu
Huijuan Xu
Trevor Darrell
Xiaolong Wang
252
350
0
09 Mar 2020
Learning Discrete State Abstractions With Deep Variational Inference
Learning Discrete State Abstractions With Deep Variational Inference
Ondrej Biza
Robert Platt
Jan-Willem van de Meent
Lawson L. S. Wong
BDL
81
12
0
09 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification
Embedding Propagation: Smoother Manifold for Few-Shot Classification
Pau Rodríguez
I. Laradji
Alexandre Drouin
Alexandre Lacoste
82
196
0
09 Mar 2020
TorchIO: A Python library for efficient loading, preprocessing,
  augmentation and patch-based sampling of medical images in deep learning
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García
Rachel Sparks
Sébastien Ourselin
MedImLM&MA
280
439
0
09 Mar 2020
Transformation-based Adversarial Video Prediction on Large-Scale Data
Transformation-based Adversarial Video Prediction on Large-Scale Data
Pauline Luc
Aidan Clark
Sander Dieleman
Diego de Las Casas
Yotam Doron
Albin Cassirer
Karen Simonyan
VGen
341
89
0
09 Mar 2020
Dense Dilated Convolutions Merging Network for Land Cover Classification
Dense Dilated Convolutions Merging Network for Land Cover Classification
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
136
117
0
09 Mar 2020
FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale
  Context Aggregation and Feature Space Super-resolution
FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution
Zhanpeng Zhang
Kaipeng Zhang
SSeg
34
21
0
09 Mar 2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization
  Methods
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
Sanghyuk Chun
Seong Joon Oh
Sangdoo Yun
Dongyoon Han
Junsuk Choe
Y. Yoo
AAMLOOD
435
54
0
09 Mar 2020
Fine-Grained Visual Classification via Progressive Multi-Granularity
  Training of Jigsaw Patches
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches
Ruoyi Du
Dongliang Chang
A. Bhunia
Jiyang Xie
Zhanyu Ma
Yi-Zhe Song
Jun Guo
153
297
0
08 Mar 2020
$Π-$nets: Deep Polynomial Neural Networks
Π−Π-Π−nets: Deep Polynomial Neural Networks
Grigorios G. Chrysos
Stylianos Moschoglou
Giorgos Bouritsas
Yannis Panagakis
Jiankang Deng
Stefanos Zafeiriou
93
61
0
08 Mar 2020
A Multi-scale CNN-CRF Framework for Environmental Microorganism Image
  Segmentation
A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation
Jinghua Zhang
Chen Li
Frank Kulwa
Xin Zhao
Changhao Sun
Zihan Li
Tao Jiang
Hong Li
Shouliang Qi
115
23
0
08 Mar 2020
AL2: Progressive Activation Loss for Learning General Representations in
  Classification Neural Networks
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks
Majed El Helou
Frederike Dumbgen
Sabine Süsstrunk
CLLAI4CE
42
2
0
07 Mar 2020
Generative Low-bitwidth Data Free Quantization
Generative Low-bitwidth Data Free Quantization
Shoukai Xu
Haokun Li
Bohan Zhuang
Jing Liu
Jingyun Liang
Chuangrun Liang
Mingkui Tan
MQ
88
127
0
07 Mar 2020
Synaptic Metaplasticity in Binarized Neural Networks
Synaptic Metaplasticity in Binarized Neural Networks
Axel Laborieux
M. Ernoult
T. Hirtzlin
D. Querlioz
CLL
97
65
0
07 Mar 2020
TTPP: Temporal Transformer with Progressive Prediction for Efficient
  Action Anticipation
TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation
Wen Wang
Xiaojiang Peng
Yanzhou Su
Yu Qiao
Jian Cheng
AI4TS
87
18
0
07 Mar 2020
The Variational InfoMax Learning Objective
The Variational InfoMax Learning Objective
Vincenzo Crescimanna
Bruce P. Graham
74
0
0
07 Mar 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning
TaskNorm: Rethinking Batch Normalization for Meta-Learning
J. Bronskill
Jonathan Gordon
James Requeima
Sebastian Nowozin
Richard Turner
101
91
0
06 Mar 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context
  Understanding
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding
Seonguk Park
Gyubok Lee
Manoj Bhat
Jimin Seo
Minseok Kang
Jonathan M Francis
Ashwin R. Jadhav
Paul Pu Liang
Louis-Philippe Morency
221
120
0
06 Mar 2020
Towards Practical Lottery Ticket Hypothesis for Adversarial Training
Towards Practical Lottery Ticket Hypothesis for Adversarial Training
Bai Li
Shiqi Wang
Yunhan Jia
Yantao Lu
Zhenyu Zhong
Lawrence Carin
Suman Jana
AAML
142
14
0
06 Mar 2020
Generalizable semi-supervised learning method to estimate mass from
  sparsely annotated images
Generalizable semi-supervised learning method to estimate mass from sparsely annotated images
Muhammad K. A. Hamdan
D. Rover
Matthew J. Darr
John Just
73
7
0
05 Mar 2020
AI outperformed every dermatologist: Improved dermoscopic melanoma diagnosis through customizing batch logic and loss function in an optimized Deep CNN architecture
Tri-Cong Pham
C. Luong
Van-Dung Hoang
A. Doucet
59
7
0
05 Mar 2020
Train-by-Reconnect: Decoupling Locations of Weights from their Values
Train-by-Reconnect: Decoupling Locations of Weights from their Values
Yushi Qiu
R. Suda
22
0
0
05 Mar 2020
GANwriting: Content-Conditioned Generation of Styled Handwritten Word
  Images
GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images
Lei Kang
Pau Riba
Yaxing Wang
Marçal Rusiñol
Alicia Fornés
M. Villegas
DiffMGAN
103
79
0
05 Mar 2020
Embedding Expansion: Augmentation in Embedding Space for Deep Metric
  Learning
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning
ByungSoo Ko
Geonmo Gu
155
54
0
05 Mar 2020
On the Learning Property of Logistic and Softmax Losses for Deep Neural
  Networks
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
Xiangrui Li
X. Li
Deng Pan
D. Zhu
55
22
0
04 Mar 2020
Real-time Federated Evolutionary Neural Architecture Search
Real-time Federated Evolutionary Neural Architecture Search
Hangyu Zhu
Yaochu Jin
FedML
208
73
0
04 Mar 2020
Unity Style Transfer for Person Re-Identification
Unity Style Transfer for Person Re-Identification
C. Liu
Xiaojun Chang
Yi-Dong Shen
107
73
0
04 Mar 2020
A Learning Strategy for Contrast-agnostic MRI Segmentation
A Learning Strategy for Contrast-agnostic MRI Segmentation
Benjamin Billot
Douglas N. Greve
Koen van Leemput
Bruce Fischl
Juan Eugenio Iglesias
Adrian Dalca
73
76
0
04 Mar 2020
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with
  Generative Adversarial Nets
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets
Yonghyun Jeong
Hyunjin Choi
Byoungjip Kim
Youngjune Gwon
GAN
52
6
0
04 Mar 2020
Automatic Hyper-Parameter Optimization Based on Mapping Discovery from
  Data to Hyper-Parameters
Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters
Bozhou Chen
Kaixin Zhang
Longshen Ou
Chenmin Ba
Hongzhi Wang
Chunnan Wang
67
2
0
03 Mar 2020
Single-exposure absorption imaging of ultracold atoms using deep
  learning
Single-exposure absorption imaging of ultracold atoms using deep learning
G. Ness
Anastasiya Vainbaum
Constantine Shkedrov
Yanay Florshaim
Y. Sagi
71
12
0
03 Mar 2020
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
Keita Ota
Tomoaki Oiki
Devesh K. Jha
T. Mariyama
D. Nikovski
OffRL
107
42
0
03 Mar 2020
SELD-TCN: Sound Event Localization & Detection via Temporal
  Convolutional Networks
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks
Karim Guirguis
Christoph Schorn
A. Guntoro
Sherif Abdulatif
Bin Yang
47
57
0
03 Mar 2020
VQ-DRAW: A Sequential Discrete VAE
VQ-DRAW: A Sequential Discrete VAE
Alex Nichol
BDL
45
3
0
03 Mar 2020
Gastric histopathology image segmentation using a hierarchical
  conditional random field
Gastric histopathology image segmentation using a hierarchical conditional random field
Changhao Sun
Chen Li
Jinghua Zhang
Muhammad Rahaman
Shiliang Ai
Hao Chen
Frank Kulwa
Yixin Li
Xiaoyan Li
Tao Jiang
109
47
0
03 Mar 2020
Iterative Averaging in the Quest for Best Test Error
Iterative Averaging in the Quest for Best Test Error
Diego Granziol
Xingchen Wan
Samuel Albanie
Stephen J. Roberts
84
3
0
02 Mar 2020
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller,
  Faster, and Better
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better
Yuhua Chen
A. Christodoulou
Zhengwei Zhou
Feng Shi
Yibin Xie
Debiao Li
MedImSupR
59
44
0
02 Mar 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
645
958
0
02 Mar 2020
Identity Recognition in Intelligent Cars with Behavioral Data and
  LSTM-ResNet Classifier
Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier
Michael Hammann
Maximilian Kraus
S. Shafaei
Alois C. Knoll
36
3
0
02 Mar 2020
Warwick Electron Microscopy Datasets
Warwick Electron Microscopy Datasets
Jeffrey M. Ede
105
14
0
02 Mar 2020
Soft-Root-Sign Activation Function
Soft-Root-Sign Activation Function
Yuan Zhou
Dandan Li
Shuwei Huo
S. Kung
ODL
62
25
0
01 Mar 2020
1D CNN Based Network Intrusion Detection with Normalization on Imbalanced Data
Azizjon Meliboev
Jumabek Alikhanov
Wooseong Kim
53
148
0
01 Mar 2020
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