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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 / 11,209 papers shown
Title
Submodular Batch Selection for Training Deep Neural Networks
Submodular Batch Selection for Training Deep Neural Networks
K. J. Joseph
R. VamshiTeja
Krishnakant Singh
V. Balasubramanian
72
23
0
20 Jun 2019
Learning to segment microscopy images with lazy labels
Learning to segment microscopy images with lazy labels
Rihuan Ke
Aurélie Bugeau
Nicolas Papadakis
Peter Schütz
Carola-Bibiane Schönlieb
53
10
0
20 Jun 2019
Let's Take This Online: Adapting Scene Coordinate Regression Network
  Predictions for Online RGB-D Camera Relocalisation
Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation
Tommaso Cavallari
Luca Bertinetto
Jishnu Mukhoti
Philip Torr
Stuart Golodetz
3DV3DPC
88
43
0
20 Jun 2019
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in
  Convolutional Neural Networks
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks
Adam Byerly
T. Kalganova
65
13
0
20 Jun 2019
A Monaural Speech Enhancement Method for Robust Small-Footprint Keyword
  Spotting
A Monaural Speech Enhancement Method for Robust Small-Footprint Keyword Spotting
Yue Gu
Zhihao Du
Hui Zhang
Xueliang Zhang
20
5
0
20 Jun 2019
Unsupervised Learning of Object Keypoints for Perception and Control
Unsupervised Learning of Object Keypoints for Perception and Control
Tejas D. Kulkarni
Ankush Gupta
Catalin Ionescu
Sebastian Borgeaud
Malcolm Reynolds
Andrew Zisserman
Volodymyr Mnih
SSLOCL
82
197
0
19 Jun 2019
A Strong Baseline and Batch Normalization Neck for Deep Person
  Re-identification
A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification
Hao Luo
Wei Jiang
Youzhi Gu
Fuxu Liu
Xingyu Liao
Shenqi Lai
Jianyang Gu
3DPC
95
523
0
19 Jun 2019
The Functional Neural Process
The Functional Neural Process
Christos Louizos
Xiahan Shi
Klamer Schutte
Max Welling
BDL
82
77
0
19 Jun 2019
Back to Simplicity: How to Train Accurate BNNs from Scratch?
Back to Simplicity: How to Train Accurate BNNs from Scratch?
Joseph Bethge
Haojin Yang
Marvin Bornstein
Christoph Meinel
AAMLMQ
64
58
0
19 Jun 2019
Large-Scale Speaker Diarization of Radio Broadcast Archives
Large-Scale Speaker Diarization of Radio Broadcast Archives
Emre Yilmaz
Adem Derinel
Zhou Kun
H. V. D. Heuvel
Niko Brummer
Haizhou Li
David A. van Leeuwen
13
2
0
19 Jun 2019
A simple and effective postprocessing method for image classification
A simple and effective postprocessing method for image classification
Yan Liu
Yun Li
Yunhao Yuan
Jipeng Qiang
21
1
0
19 Jun 2019
Convolutional neural network models for cancer type prediction based on
  gene expression
Convolutional neural network models for cancer type prediction based on gene expression
Milad Mostavi
Yu-Chiao Chiu
Yufei Huang
Yidong Chen
MedIm
52
188
0
18 Jun 2019
On the interplay between noise and curvature and its effect on
  optimization and generalization
On the interplay between noise and curvature and its effect on optimization and generalization
Valentin Thomas
Fabian Pedregosa
B. V. Merrienboer
Pierre-Antoine Mangazol
Yoshua Bengio
Nicolas Le Roux
64
61
0
18 Jun 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural
  Adaptive Processes
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
James Requeima
Jonathan Gordon
J. Bronskill
Sebastian Nowozin
Richard Turner
76
244
0
18 Jun 2019
Prune and Replace NAS
Prune and Replace NAS
Kevin Laube
A. Zell
66
13
0
18 Jun 2019
Exemplar Guided Face Image Super-Resolution without Facial Landmarks
Exemplar Guided Face Image Super-Resolution without Facial Landmarks
Berk Dogan
Shuhang Gu
Radu Timofte
GANCVBM
84
87
0
17 Jun 2019
SNODE: Spectral Discretization of Neural ODEs for System Identification
SNODE: Spectral Discretization of Neural ODEs for System Identification
A. Quaglino
Marco Gallieri
Jonathan Masci
Jan Koutník
AI4TS
109
48
0
17 Jun 2019
EnlightenGAN: Deep Light Enhancement without Paired Supervision
EnlightenGAN: Deep Light Enhancement without Paired Supervision
Yi Ding
Xinyu Gong
Ding Liu
Yu Cheng
Chen Fang
Xiaohui Shen
Jianchao Yang
Pan Zhou
Zhangyang Wang
154
1,601
0
17 Jun 2019
Open Domain Event Extraction Using Neural Latent Variable Models
Open Domain Event Extraction Using Neural Latent Variable Models
Xiao Liu
Heyan Huang
Yue Zhang
BDLDRL
65
57
0
17 Jun 2019
Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted
  Image
Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted Image
Jun Xu
Yuan Huang
Ming-Ming Cheng
Li Liu
Fan Zhu
Xingsong Hou
Ling Shao
SSL
85
24
0
17 Jun 2019
Multi-task Learning For Detecting and Segmenting Manipulated Facial
  Images and Videos
Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos
H. Nguyen
Fuming Fang
Junichi Yamagishi
Isao Echizen
AAMLCVBM
55
440
0
17 Jun 2019
A Temporal Sequence Learning for Action Recognition and Prediction
A Temporal Sequence Learning for Action Recognition and Prediction
Sangwoo Cho
H. Foroosh
36
12
0
17 Jun 2019
Addressing database variability in learning from medical data: an
  ensemble-based approach using convolutional neural networks and a case of
  study applied to automatic sleep scoring
Addressing database variability in learning from medical data: an ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring
D. Álvarez-Estévez
Isaac Fernández-Varela
OOD
36
19
0
16 Jun 2019
Mixture separability loss in a deep convolutional network for image
  classification
Mixture separability loss in a deep convolutional network for image classification
T. Do
Cheng-Bin Jin
Hakil Kim
Van Huan Nguyen
35
2
0
16 Jun 2019
Scalable Model Compression by Entropy Penalized Reparameterization
Scalable Model Compression by Entropy Penalized Reparameterization
Deniz Oktay
Johannes Ballé
Saurabh Singh
Abhinav Shrivastava
84
43
0
15 Jun 2019
Accelerating temporal action proposal generation via high performance
  computing
Accelerating temporal action proposal generation via high performance computing
Tian Wang
Shiye Lei
Youyou Jiang
Chang Choi
H. Snoussi
Guangcun Shan
49
4
0
15 Jun 2019
Speeding up VP9 Intra Encoder with Hierarchical Deep Learning Based
  Partition Prediction
Speeding up VP9 Intra Encoder with Hierarchical Deep Learning Based Partition Prediction
Somdyuti Paul
A. Norkin
A. Bovik
63
14
0
15 Jun 2019
High Speed and High Dynamic Range Video with an Event Camera
High Speed and High Dynamic Range Video with an Event Camera
Henri Rebecq
René Ranftl
V. Koltun
Davide Scaramuzza
107
588
0
15 Jun 2019
Single-Channel Signal Separation and Deconvolution with Generative
  Adversarial Networks
Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks
Qiuqiang Kong
Yong-mei Xu
Wenwu Wang
Philip J. B. Jackson
Mark D. Plumbley
GAN
70
24
0
14 Jun 2019
Video-Driven Speech Reconstruction using Generative Adversarial Networks
Video-Driven Speech Reconstruction using Generative Adversarial Networks
Konstantinos Vougioukas
Pingchuan Ma
Stavros Petridis
Maja Pantic
GAN
76
49
0
14 Jun 2019
Machine Learning on EPEX Order Books: Insights and Forecasts
Machine Learning on EPEX Order Books: Insights and Forecasts
Simon Schnürch
A. Wagner
45
17
0
14 Jun 2019
$(1 + \varepsilon)$-class Classification: an Anomaly Detection Method
  for Highly Imbalanced or Incomplete Data Sets
(1+ε)(1 + \varepsilon)(1+ε)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets
M. Borisyak
Artem Sergeevich Ryzhikov
Andrey Ustyuzhanin
D. Derkach
Fedor Ratnikov
Olga Mineeva
32
4
0
14 Jun 2019
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty
  Estimation
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
Lorenzo Bertoni
S. Kreiss
Alexandre Alahi
UQCV
93
117
0
14 Jun 2019
Stand-Alone Self-Attention in Vision Models
Stand-Alone Self-Attention in Vision Models
Prajit Ramachandran
Niki Parmar
Ashish Vaswani
Irwan Bello
Anselm Levskaya
Jonathon Shlens
VLMSLRViT
173
1,217
0
13 Jun 2019
Learning Instance Occlusion for Panoptic Segmentation
Learning Instance Occlusion for Panoptic Segmentation
Justin Lazarow
Kwonjoon Lee
Kunyu Shi
Zhuowen Tu
ISeg
95
72
0
13 Jun 2019
Learning to Forget for Meta-Learning
Learning to Forget for Meta-Learning
Sungyong Baik
Seokil Hong
Kyoung Mu Lee
CLLKELM
75
89
0
13 Jun 2019
The iMaterialist Fashion Attribute Dataset
The iMaterialist Fashion Attribute Dataset
Sheng Guo
Weilin Huang
Xiao Zhang
Prasanna Srikhanta
Huayu Chen
Yuan Li
Matthew R. Scott
Hartwig Adam
Serge J. Belongie
VLM
98
78
0
13 Jun 2019
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep
  Auto-Regressive Networks
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks
N. Geneva
N. Zabaras
AI4CE
75
276
0
13 Jun 2019
Associated Learning: Decomposing End-to-end Backpropagation based on
  Auto-encoders and Target Propagation
Associated Learning: Decomposing End-to-end Backpropagation based on Auto-encoders and Target Propagation
Yu-Wei Kao
Hung-Hsuan Chen
BDL
133
5
0
13 Jun 2019
Robust and interpretable blind image denoising via bias-free
  convolutional neural networks
Robust and interpretable blind image denoising via bias-free convolutional neural networks
S. Mohan
Zahra Kadkhodaie
Eero P. Simoncelli
C. Fernandez‐Granda
AI4CE
124
125
0
13 Jun 2019
CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of
  Deep Networks under Limited Training Budgets
CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of Deep Networks under Limited Training Budgets
Riddhish Bhalodia
Shireen Y. Elhabian
L. Kavan
Ross T. Whitaker
20
1
0
13 Jun 2019
Eye Contact Correction using Deep Neural Networks
Eye Contact Correction using Deep Neural Networks
Leo F. Isikdogan
Timo Gerasimow
G. Michael
CVBM
26
3
0
12 Jun 2019
Boosting Few-Shot Visual Learning with Self-Supervision
Boosting Few-Shot Visual Learning with Self-Supervision
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
103
405
0
12 Jun 2019
Attention-based Multi-Input Deep Learning Architecture for Biological
  Activity Prediction: An Application in EGFR Inhibitors
Attention-based Multi-Input Deep Learning Architecture for Biological Activity Prediction: An Application in EGFR Inhibitors
Huy Pham
Trung Le
OODAI4CE
31
4
0
12 Jun 2019
Regularizing Neural Networks via Minimizing Hyperspherical Energy
Regularizing Neural Networks via Minimizing Hyperspherical Energy
Rongmei Lin
Weiyang Liu
Zhen Liu
Chen Feng
Zhiding Yu
James M. Rehg
Li Xiong
Le Song
105
39
0
12 Jun 2019
Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free
  Inference
Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference
Michele Covell
David Marwood
S. Baluja
Nick Johnston
MQ
41
7
0
11 Jun 2019
Automatic brain tissue segmentation in fetal MRI using convolutional
  neural networks
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks
Nadieh Khalili
Nikolas Lessmann
Elise Turk
N. Claessens
R. Heus
T. Kolk
M. Viergever
M. Benders
I. Isgum
64
101
0
11 Jun 2019
Gated CRF Loss for Weakly Supervised Semantic Image Segmentation
Anton Obukhov
Stamatios Georgoulis
Dengxin Dai
Luc Van Gool
80
78
0
11 Jun 2019
On Stabilizing Generative Adversarial Training with Noise
On Stabilizing Generative Adversarial Training with Noise
Simon Jenni
Paolo Favaro
GAN
67
62
0
11 Jun 2019
Principled Training of Neural Networks with Direct Feedback Alignment
Principled Training of Neural Networks with Direct Feedback Alignment
Julien Launay
Iacopo Poli
Florent Krzakala
65
35
0
11 Jun 2019
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