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Snapshot Ensembles: Train 1, get M for free

Snapshot Ensembles: Train 1, get M for free

1 April 2017
Gao Huang
Yixuan Li
Geoff Pleiss
Zhuang Liu
John E. Hopcroft
Kilian Q. Weinberger
    OODFedMLUQCV
ArXiv (abs)PDFHTML

Papers citing "Snapshot Ensembles: Train 1, get M for free"

45 / 445 papers shown
Title
Don't Use Large Mini-Batches, Use Local SGD
Don't Use Large Mini-Batches, Use Local SGD
Tao R. Lin
Sebastian U. Stich
Kumar Kshitij Patel
Martin Jaggi
131
432
0
22 Aug 2018
Testing the Efficient Network TRaining (ENTR) Hypothesis: initially
  reducing training image size makes Convolutional Neural Network training for
  image recognition tasks more efficient
Testing the Efficient Network TRaining (ENTR) Hypothesis: initially reducing training image size makes Convolutional Neural Network training for image recognition tasks more efficient
T. Wanger
Peter Frohn
25
3
0
30 Jul 2018
A Deep Learning Driven Active Framework for Segmentation of Large 3D
  Shape Collections
A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections
D. George
Xianghua Xie
Yu-kun Lai
G. Tam
3DV3DPC
36
7
0
17 Jul 2018
TherML: Thermodynamics of Machine Learning
TherML: Thermodynamics of Machine Learning
Alexander A. Alemi
Ian S. Fischer
DRLAI4CE
58
29
0
11 Jul 2018
Big-Little Net: An Efficient Multi-Scale Feature Representation for
  Visual and Speech Recognition
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
Chun-Fu Chen
Quanfu Fan
Neil Rohit Mallinar
Tom Sercu
Rogerio Feris
78
98
0
10 Jul 2018
Using Mode Connectivity for Loss Landscape Analysis
Using Mode Connectivity for Loss Landscape Analysis
Akhilesh Deepak Gotmare
N. Keskar
Caiming Xiong
R. Socher
71
28
0
18 Jun 2018
Learning Visual Knowledge Memory Networks for Visual Question Answering
Learning Visual Knowledge Memory Networks for Visual Question Answering
Zhou Su
Chen Zhu
Yinpeng Dong
Dongqi Cai
Yurong Chen
Jianguo Li
96
62
0
13 Jun 2018
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan
Xiatian Zhu
S. Gong
304
483
0
12 Jun 2018
Stochastic Gradient Descent with Hyperbolic-Tangent Decay on
  Classification
Stochastic Gradient Descent with Hyperbolic-Tangent Decay on Classification
B. Hsueh
Wei Li
I-Chen Wu
35
23
0
05 Jun 2018
Short-term Load Forecasting with Deep Residual Networks
Short-term Load Forecasting with Deep Residual Networks
Kunjin Chen
Kunlong Chen
Qin Wang
Ziyu He
Jun Hu
Jinliang He
73
474
0
30 May 2018
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
Yonatan Geifman
Guy Uziel
Ran El-Yaniv
UQCV
73
142
0
21 May 2018
Knowledge Distillation in Generations: More Tolerant Teachers Educate
  Better Students
Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students
Chenglin Yang
Lingxi Xie
Siyuan Qiao
Alan Yuille
88
137
0
15 May 2018
Born Again Neural Networks
Born Again Neural Networks
Tommaso Furlanello
Zachary Chase Lipton
Michael Tschannen
Laurent Itti
Anima Anandkumar
93
1,038
0
12 May 2018
Strong Baselines for Neural Semi-supervised Learning under Domain Shift
Strong Baselines for Neural Semi-supervised Learning under Domain Shift
Sebastian Ruder
Barbara Plank
66
172
0
25 Apr 2018
Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System
Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System
Stefan Kahl
Thomas Wilhelm-Stein
Holger Klinck
Danny Kowerko
Maximilian Eibl
37
28
0
19 Apr 2018
IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks
IGCV222: Interleaved Structured Sparse Convolutional Neural Networks
Guotian Xie
Jingdong Wang
Ting Zhang
Jianhuang Lai
Richang Hong
Guo-Jun Qi
115
106
0
17 Apr 2018
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification
Yan Wang
Lingxi Xie
Siyuan Qiao
Ya Zhang
Wenjun Zhang
Alan Yuille
77
13
0
03 Apr 2018
Parallel Grid Pooling for Data Augmentation
Parallel Grid Pooling for Data Augmentation
Akito Takeki
Daiki Ikami
Go Irie
Kiyoharu Aizawa
56
7
0
30 Mar 2018
Fusion of an Ensemble of Augmented Image Detectors for Robust Object
  Detection
Fusion of an Ensemble of Augmented Image Detectors for Robust Object Detection
Pan Wei
J. Ball
Derek T. Anderson
52
28
0
17 Mar 2018
Learning Sparse Structured Ensembles with SG-MCMC and Network Pruning
Learning Sparse Structured Ensembles with SG-MCMC and Network Pruning
Yichi Zhang
Zhijian Ou
62
0
0
01 Mar 2018
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
T. Garipov
Pavel Izmailov
Dmitrii Podoprikhin
Dmitry Vetrov
A. Wilson
UQCV
154
759
0
27 Feb 2018
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
Eddy Ilg
Özgün Çiçek
Silvio Galesso
Aaron Klein
Osama Makansi
Frank Hutter
Thomas Brox
UQCV
106
223
0
20 Feb 2018
An Alternative View: When Does SGD Escape Local Minima?
An Alternative View: When Does SGD Escape Local Minima?
Robert D. Kleinberg
Yuanzhi Li
Yang Yuan
MLT
101
317
0
17 Feb 2018
ViZDoom: DRQN with Prioritized Experience Replay, Double-Q Learning, &
  Snapshot Ensembling
ViZDoom: DRQN with Prioritized Experience Replay, Double-Q Learning, & Snapshot Ensembling
Christopher Schulze
Marcus Schulze
115
32
0
03 Jan 2018
The Effectiveness of Data Augmentation for Detection of Gastrointestinal
  Diseases from Endoscopical Images
The Effectiveness of Data Augmentation for Detection of Gastrointestinal Diseases from Endoscopical Images
Andrea Asperti
Claudio Mastronardo
69
70
0
11 Dec 2017
Neural Text Generation: A Practical Guide
Neural Text Generation: A Practical Guide
Ziang Xie
59
46
0
27 Nov 2017
Gradually Updated Neural Networks for Large-Scale Image Recognition
Gradually Updated Neural Networks for Large-Scale Image Recognition
Siyuan Qiao
Zhishuai Zhang
Wei Shen
Bo Wang
Alan Yuille
84
16
0
25 Nov 2017
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
Gao Huang
Shichen Liu
Laurens van der Maaten
Kilian Q. Weinberger
137
800
0
25 Nov 2017
Decoupled Weight Decay Regularization
Decoupled Weight Decay Regularization
I. Loshchilov
Frank Hutter
OffRL
167
2,166
0
14 Nov 2017
Simple And Efficient Architecture Search for Convolutional Neural
  Networks
Simple And Efficient Architecture Search for Convolutional Neural Networks
T. Elsken
J. H. Metzen
Frank Hutter
95
232
0
13 Nov 2017
Scale out for large minibatch SGD: Residual network training on
  ImageNet-1K with improved accuracy and reduced time to train
Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train
V. Codreanu
Damian Podareanu
V. Saletore
70
55
0
12 Nov 2017
AdaDNNs: Adaptive Ensemble of Deep Neural Networks for Scene Text
  Recognition
AdaDNNs: Adaptive Ensemble of Deep Neural Networks for Scene Text Recognition
Chun Yang
Xu-Cheng Yin
Zejun Li
Jianwei Wu
Chunchao Guo
Hongfa Wang
Lei Xiao
44
10
0
10 Oct 2017
Coupled Ensembles of Neural Networks
Coupled Ensembles of Neural Networks
Anuvabh Dutt
D. Pellerin
Georges Quénot
OOD
69
35
0
18 Sep 2017
Wide and deep volumetric residual networks for volumetric image
  classification
Wide and deep volumetric residual networks for volumetric image classification
Varun Arvind
A. Costa
Marcus A. Badgeley
Samuel K. Cho
Eric Oermann
3DPCMedIm
61
15
0
18 Sep 2017
LSTM Fully Convolutional Networks for Time Series Classification
LSTM Fully Convolutional Networks for Time Series Classification
Fazle Karim
Somshubra Majumdar
H. Darabi
Shun Chen
AIMatAI4TS
107
1,115
0
08 Sep 2017
Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork
Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork
W. Tan
Chee Seng Chan
H. Aguirre
Kiyoshi Tanaka
GAN
21
2
0
31 Aug 2017
Automatic Segmentation and Disease Classification Using Cardiac Cine MR
  Images
Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images
J. Wolterink
T. Leiner
M. Viergever
Ivana Isgum
84
112
0
03 Aug 2017
Mini-batch Tempered MCMC
Mini-batch Tempered MCMC
Dangna Li
W. Wong
92
6
0
31 Jul 2017
Memory-Efficient Implementation of DenseNets
Memory-Efficient Implementation of DenseNets
Geoff Pleiss
Danlu Chen
Gao Huang
Tongcheng Li
Laurens van der Maaten
Kilian Q. Weinberger
102
159
0
21 Jul 2017
Parle: parallelizing stochastic gradient descent
Parle: parallelizing stochastic gradient descent
Pratik Chaudhari
Carlo Baldassi
R. Zecchina
Stefano Soatto
Ameet Talwalkar
Adam M. Oberman
ODLFedML
85
21
0
03 Jul 2017
Efficient variational Bayesian neural network ensembles for outlier
  detection
Efficient variational Bayesian neural network ensembles for outlier detection
Nick Pawlowski
Miguel Jaques
Ben Glocker
BDLUQCV
57
13
0
20 Mar 2017
Stability of Topic Modeling via Matrix Factorization
Stability of Topic Modeling via Matrix Factorization
Mark Belford
Brian Mac Namee
Derek Greene
71
86
0
23 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCVBDL
1.0K
5,863
0
05 Dec 2016
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
227
2,572
0
07 Oct 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
383
8,216
0
13 Aug 2016
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