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Temporal Ensembling for Semi-Supervised Learning

Temporal Ensembling for Semi-Supervised Learning

7 October 2016
S. Laine
Timo Aila
    UQCV
ArXivPDFHTML

Papers citing "Temporal Ensembling for Semi-Supervised Learning"

20 / 520 papers shown
Title
Generative Modeling by Inclusive Neural Random Fields with Applications
  in Image Generation and Anomaly Detection
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection
Yunfu Song
Zhijian Ou
DiffM
11
30
0
01 Jun 2018
Collaborative Learning for Deep Neural Networks
Collaborative Learning for Deep Neural Networks
Guocong Song
Wei Chai
FedML
21
192
0
30 May 2018
AutoAugment: Learning Augmentation Policies from Data
AutoAugment: Learning Augmentation Policies from Data
E. D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
60
1,758
0
24 May 2018
Born Again Neural Networks
Born Again Neural Networks
Tommaso Furlanello
Zachary Chase Lipton
Michael Tschannen
Laurent Itti
Anima Anandkumar
36
1,024
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
14
171
0
25 Apr 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely
  Noisy Labels
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Bo Han
Quanming Yao
Xingrui Yu
Gang Niu
Miao Xu
Weihua Hu
Ivor Tsang
Masashi Sugiyama
NoLa
58
2,032
0
18 Apr 2018
Deep Co-Training for Semi-Supervised Image Recognition
Deep Co-Training for Semi-Supervised Image Recognition
Siyuan Qiao
Wei Shen
Zhishuai Zhang
Bo Wang
Alan Yuille
10
444
0
15 Mar 2018
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical
  Care
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care
Patrick Schwab
E. Keller
C. Muroi
David J. Mack
C. Strässle
W. Karlen
29
23
0
14 Feb 2018
Scalable Recollections for Continual Lifelong Learning
Scalable Recollections for Continual Lifelong Learning
Matthew D Riemer
Tim Klinger
Djallel Bouneffouf
M. Franceschini
CLL
24
62
0
17 Nov 2017
Global versus Localized Generative Adversarial Nets
Global versus Localized Generative Adversarial Nets
Guo-Jun Qi
Liheng Zhang
Hao Hu
Marzieh Edraki
Jingdong Wang
Xian-Sheng Hua
GAN
32
81
0
16 Nov 2017
Structured Generative Adversarial Networks
Structured Generative Adversarial Networks
Zhijie Deng
Huatian Zhang
Xiaodan Liang
Luona Yang
Shizhen Xu
Jun Zhu
Eric Xing
GAN
31
53
0
02 Nov 2017
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Yucen Luo
Jun Zhu
Mengxi Li
Yong Ren
Bo Zhang
19
242
0
01 Nov 2017
Self-ensembling for visual domain adaptation
Self-ensembling for visual domain adaptation
Geoffrey French
Michal Mackiewicz
M. Fisher
19
44
0
16 Jun 2017
PixelGAN Autoencoders
PixelGAN Autoencoders
Alireza Makhzani
Brendan J. Frey
GAN
32
100
0
02 Jun 2017
Good Semi-supervised Learning that Requires a Bad GAN
Good Semi-supervised Learning that Requires a Bad GAN
Zihang Dai
Zhilin Yang
Fan Yang
William W. Cohen
Ruslan Salakhutdinov
GAN
22
481
0
27 May 2017
Virtual Adversarial Training: A Regularization Method for Supervised and
  Semi-Supervised Learning
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato
S. Maeda
Masanori Koyama
S. Ishii
GAN
10
2,717
0
13 Apr 2017
Snapshot Ensembles: Train 1, get M for free
Snapshot Ensembles: Train 1, get M for free
Gao Huang
Yixuan Li
Geoff Pleiss
Zhuang Liu
J. Hopcroft
Kilian Q. Weinberger
OOD
FedML
UQCV
45
935
0
01 Apr 2017
Triple Generative Adversarial Nets
Triple Generative Adversarial Nets
Chongxuan Li
T. Xu
Jun Zhu
Bo Zhang
GAN
42
449
0
07 Mar 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Guo-Jun Qi
GAN
27
350
0
23 Jan 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,145
0
06 Jun 2015
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