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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 / 11,181 papers shown
Title
Adaloss: Adaptive Loss Function for Landmark Localization
Adaloss: Adaptive Loss Function for Landmark Localization
Brian Teixeira
Birgi Tamersoy
V. Singh
Ankur Kapoor
ODL
40
15
0
02 Aug 2019
MarmoNet: a pipeline for automated projection mapping of the common
  marmoset brain from whole-brain serial two-photon tomography
MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography
Henrik Skibbe
A. Watakabe
Ken Nakae
C. E. Gutierrez
Hiromichi Tsukada
...
A. Woodward
Kenji Doya
H. Okano
Tetsuo Yamamori
S. Ishii
61
17
0
02 Aug 2019
An Evaluation of Action Recognition Models on EPIC-Kitchens
An Evaluation of Action Recognition Models on EPIC-Kitchens
Will Price
Dima Damen
EgoV
55
13
0
02 Aug 2019
Sound source detection, localization and classification using
  consecutive ensemble of CRNN models
Sound source detection, localization and classification using consecutive ensemble of CRNN models
Slawomir Kapka
M. Lewandowski
122
66
0
02 Aug 2019
Feature Robustness in Non-stationary Health Records: Caveats to
  Deployable Model Performance in Common Clinical Machine Learning Tasks
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
Bret A. Nestor
Matthew B. A. McDermott
Willie Boag
G. Berner
Tristan Naumann
Michael C. Hughes
Anna Goldenberg
Marzyeh Ghassemi
OOD
95
114
0
02 Aug 2019
Attention Guided Low-light Image Enhancement with a Large Scale
  Low-light Simulation Dataset
Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset
Feifan Lv
Yu Li
Feng Lu
3DV
85
274
0
02 Aug 2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
Kaichun Mo
Paul Guerrero
L. Yi
Hao Su
Peter Wonka
Niloy Mitra
Leonidas Guibas
3DPC
120
134
0
01 Aug 2019
Learning to Adapt Invariance in Memory for Person Re-identification
Learning to Adapt Invariance in Memory for Person Re-identification
Zhun Zhong
Liang Zheng
Shaozi Li
Shaozi Li
Yezhou Yang
OOD
84
180
0
01 Aug 2019
MSnet: A BERT-based Network for Gendered Pronoun Resolution
MSnet: A BERT-based Network for Gendered Pronoun Resolution
Zili Wang
47
4
0
01 Aug 2019
Convolutional Auto-encoding of Sentence Topics for Image Paragraph
  Generation
Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation
Jing Wang
Yingwei Pan
Ting Yao
Jinhui Tang
Tao Mei
VLMBDLDiffM
61
36
0
01 Aug 2019
An Empirical Study of Batch Normalization and Group Normalization in
  Conditional Computation
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation
Vincent Michalski
Vikram S. Voleti
Samira Ebrahimi Kahou
Anthony Ortiz
Pascal Vincent
C. Pal
Doina Precup
BDL
52
6
0
31 Jul 2019
Use What You Have: Video Retrieval Using Representations From
  Collaborative Experts
Use What You Have: Video Retrieval Using Representations From Collaborative Experts
Yang Liu
Samuel Albanie
Arsha Nagrani
Andrew Zisserman
91
391
0
31 Jul 2019
Expectation-Maximization Attention Networks for Semantic Segmentation
Expectation-Maximization Attention Networks for Semantic Segmentation
Xia Li
Zhisheng Zhong
Jianlong Wu
Yibo Yang
Zhouchen Lin
Hong Liu
3DV3DPC
199
558
0
31 Jul 2019
Uncertainty Quantification in Deep Learning for Safer Neuroimage
  Enhancement
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement
Ryutaro Tanno
Daniel E. Worrall
Enrico Kaden
Aurobrata Ghosh
Francesco Grussu
A. Bizzi
S. Sotiropoulos
A. Criminisi
Daniel C. Alexander
MedImDiffM
104
33
0
31 Jul 2019
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective
  Untrimmed Video Recognition
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition
Wenhao Wu
Dongliang He
Xiao Tan
Shifeng Chen
Shilei Wen
88
127
0
31 Jul 2019
Capsule Networks Need an Improved Routing Algorithm
Capsule Networks Need an Improved Routing Algorithm
Inyoung Paik
Taeyeong Kwak
Injung Kim
132
35
0
31 Jul 2019
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
Inyoung Paik
Sangjun Oh
Taeyeong Kwak
Injung Kim
CLL
97
49
0
31 Jul 2019
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points
Gil Avraham
Yan Zuo
Thanuja Dharmasiri
Tom Drummond
72
17
0
31 Jul 2019
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
Huy P Phan
Oliver Y. Chén
P. Koch
Zongqing Lu
Ian Mcloughlin
Alfred Mertins
M. D. Vos
138
118
0
30 Jul 2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric
  Latent Representations
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
Martin Engelcke
Adam R. Kosiorek
Oiwi Parker Jones
Ingmar Posner
OCL
177
309
0
30 Jul 2019
Deep Multi-Kernel Convolutional LSTM Networks and an Attention-Based
  Mechanism for Videos
Deep Multi-Kernel Convolutional LSTM Networks and an Attention-Based Mechanism for Videos
Sebastian Agethen
Winston H. Hsu
HAI
79
25
0
30 Jul 2019
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
Min-Hung Chen
Z. Kira
G. Al-Regib
Jaekwon Yoo
Ruxin Chen
Jian Zheng
TTAAI4TS
101
180
0
30 Jul 2019
Propose-and-Attend Single Shot Detector
Propose-and-Attend Single Shot Detector
Hoyong Jang
Sanghyun Woo
Philipp Benz
Jinsun Park
In So Kweon
ObjD
74
16
0
30 Jul 2019
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image
  Classification by Evolving and Stacking Transferable Blocks
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks
Bin Wang
Bing Xue
Mengjie Zhang
97
51
0
29 Jul 2019
Deep Gradient Boosting -- Layer-wise Input Normalization of Neural Networks
E. Bilal
ODLAI4CE
13
0
0
29 Jul 2019
X-LineNet: Detecting Aircraft in Remote Sensing Images by a pair of
  Intersecting Line Segments
X-LineNet: Detecting Aircraft in Remote Sensing Images by a pair of Intersecting Line Segments
Haoran Wei
Yue Zhang
Bing Wang
Yang-Rui Yang
Hao Li
Hongqi Wang
ObjD
89
45
0
29 Jul 2019
A Deep Learning Based Attack for The Chaos-based Image Encryption
A Deep Learning Based Attack for The Chaos-based Image Encryption
Chen He
Kan Ming
Yongwei Wang
Z. J. Wang
AAML
31
16
0
29 Jul 2019
An Empirical Study on Leveraging Scene Graphs for Visual Question
  Answering
An Empirical Study on Leveraging Scene Graphs for Visual Question Answering
Cheng Zhang
Wei-Lun Chao
D. Xuan
77
51
0
28 Jul 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Puneet Mangla
M. Singh
Abhishek Sinha
Nupur Kumari
V. Balasubramanian
Balaji Krishnamurthy
SSL
113
329
0
28 Jul 2019
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
Cheng-Han Lee
Ziwei Liu
Lingyun Wu
Ping Luo
CVBM
186
1,079
0
27 Jul 2019
Variational f-divergence Minimization
Variational f-divergence Minimization
Mingtian Zhang
Thomas Bird
Raza Habib
Tianlin Xu
David Barber
FedML
58
29
0
27 Jul 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
OODBDLUQCV
83
54
0
27 Jul 2019
Deep Learning for CSI Feedback Based on Superimposed Coding
Deep Learning for CSI Feedback Based on Superimposed Coding
Chaojin Qing
Bin Cai
Qingyao Yang
Jiafan Wang
Chuan Huang
43
43
0
27 Jul 2019
Forced Spatial Attention for Driver Foot Activity Classification
Forced Spatial Attention for Driver Foot Activity Classification
Akshay Rangesh
Mohan M. Trivedi
61
8
0
27 Jul 2019
Classification of chaotic time series with deep learning
Classification of chaotic time series with deep learning
Nicolas Boullé
V. Dallas
Y. Nakatsukasa
D. Samaddar
AI4TS
29
58
0
26 Jul 2019
An Encoder-Decoder Based Approach for Anomaly Detection with Application
  in Additive Manufacturing
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing
Baihong Jin
Yingshui Tan
A. Nettekoven
Yuxin Chen
Ufuk Topcu
Yisong Yue
Alberto L. Sangiovanni-Vincentelli
UQCV
56
39
0
26 Jul 2019
Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical
  Image Segmentation
Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation
Maria G. Baldeon Calisto
S. Lai-Yuen
68
16
0
26 Jul 2019
Compressing deep quaternion neural networks with targeted regularization
Compressing deep quaternion neural networks with targeted regularization
Riccardo Vecchi
Simone Scardapane
Danilo Comminiello
A. Uncini
74
20
0
26 Jul 2019
Weakly Supervised Domain Detection
Weakly Supervised Domain Detection
Yumo Xu
Mirella Lapata
72
9
0
26 Jul 2019
Outfit Compatibility Prediction and Diagnosis with Multi-Layered
  Comparison Network
Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network
Xin Wang
Bochun Wu
Yun Ye
Y. Zhong
69
45
0
26 Jul 2019
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from
  Retinal Images
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images
Fei Yu
Jie Zhao
Y. Gong
Zhi Wang
Yuxi Li
Fan Yang
Bin Dong
Quanzheng Li
Li Zhang
GANMedIm
60
33
0
26 Jul 2019
Context-Integrated and Feature-Refined Network for Lightweight Object
  Parsing
Context-Integrated and Feature-Refined Network for Lightweight Object Parsing
Bin Jiang
Wenxuan Tu
Chao Yang
Junsong Yuan
ObjDVOS
124
17
0
26 Jul 2019
Exploiting the Redundancy in Convolutional Filters for Parameter
  Reduction
Exploiting the Redundancy in Convolutional Filters for Parameter Reduction
Kumara Kahatapitiya
Ranga Rodrigo
25
0
0
26 Jul 2019
Product Image Recognition with Guidance Learning and Noisy Supervision
Product Image Recognition with Guidance Learning and Noisy Supervision
Qing Li
Xiaojiang Peng
Liangliang Cao
Wenbin Du
Hao Xing
Yu Qiao
NoLa
60
21
0
26 Jul 2019
Unsupervised Learning Framework of Interest Point Via Properties
  Optimization
Unsupervised Learning Framework of Interest Point Via Properties Optimization
Pei Yan
Yihua Tan
Yuan Xiao
Yuan Tai
Caizhen Wen
42
2
0
26 Jul 2019
BSUV-Net: A Fully-Convolutional Neural Network for Background
  Subtraction of Unseen Videos
BSUV-Net: A Fully-Convolutional Neural Network for Background Subtraction of Unseen Videos
M. Tezcan
Prakash Ishwar
Janusz Konrad
VOS
60
97
0
26 Jul 2019
MVB: A Large-Scale Dataset for Baggage Re-Identification and Merged
  Siamese Networks
MVB: A Large-Scale Dataset for Baggage Re-Identification and Merged Siamese Networks
Zhulin Zhang
Dong Li
Jinhua Wu
Yunda Sun
Li Zhang
62
11
0
26 Jul 2019
Camera Distance-aware Top-down Approach for 3D Multi-person Pose
  Estimation from a Single RGB Image
Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
Gyeongsik Moon
Ju Yong Chang
Kyoung Mu Lee
3DH
179
327
0
26 Jul 2019
Cross Attention Network for Semantic Segmentation
Cross Attention Network for Semantic Segmentation
Mengyu Liu
Hujun Yin
3DPCSSeg
62
18
0
25 Jul 2019
Framelet Pooling Aided Deep Learning Network : The Method to Process
  High Dimensional Medical Data
Framelet Pooling Aided Deep Learning Network : The Method to Process High Dimensional Medical Data
Chang Min Hyun
Kangcheol Kim
Hyun Cheol Cho
Jae Kyu Choi
J. Seo
MedIm
37
11
0
25 Jul 2019
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