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Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
v1v2 (latest)

Smooth Neighbors on Teacher Graphs for Semi-supervised Learning

1 November 2017
Yucen Luo
Jun Zhu
Mengxi Li
Yong Ren
Bo Zhang
ArXiv (abs)PDFHTML

Papers citing "Smooth Neighbors on Teacher Graphs for Semi-supervised Learning"

18 / 118 papers shown
Title
Countering Noisy Labels By Learning From Auxiliary Clean Labels
Countering Noisy Labels By Learning From Auxiliary Clean Labels
Tsung Wei Tsai
Chongxuan Li
Jun Zhu
SSL
19
1
0
23 May 2019
Semi-Supervised Learning with Scarce Annotations
Semi-Supervised Learning with Scarce Annotations
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Kai Han
Andrea Vedaldi
Andrew Zisserman
SSL
71
51
0
21 May 2019
Semi-Supervised Learning by Augmented Distribution Alignment
Semi-Supervised Learning by Augmented Distribution Alignment
Qin Wang
Wen Li
Luc Van Gool
85
70
0
20 May 2019
Unsupervised Data Augmentation for Consistency Training
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie
Zihang Dai
Eduard H. Hovy
Minh-Thang Luong
Quoc V. Le
151
2,332
0
29 Apr 2019
Deep Comprehensive Correlation Mining for Image Clustering
Deep Comprehensive Correlation Mining for Image Clustering
Jianlong Wu
Keyu Long
Fei Wang
Chao Qian
Cheng Li
Zhouchen Lin
H. Zha
69
161
0
15 Apr 2019
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation
Zhijie Deng
Yucen Luo
Jun Zhu
OOD
78
218
0
24 Mar 2019
Interpolation Consistency Training for Semi-Supervised Learning
Interpolation Consistency Training for Semi-Supervised Learning
Vikas Verma
Kenji Kawaguchi
Alex Lamb
Arno Solin
Arno Solin
Yoshua Bengio
David Lopez-Paz
146
778
0
09 Mar 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks
Batch Virtual Adversarial Training for Graph Convolutional Networks
Zhijie Deng
Yinpeng Dong
Jun Zhu
GNN
99
63
0
25 Feb 2019
Pairwise Teacher-Student Network for Semi-Supervised Hashing
Pairwise Teacher-Student Network for Semi-Supervised Hashing
Shifeng Zhang
Jianmin Li
Bo Zhang
46
7
0
02 Feb 2019
Certainty Driven Consistency Loss on Multi-Teacher Networks for
  Semi-Supervised Learning
Certainty Driven Consistency Loss on Multi-Teacher Networks for Semi-Supervised Learning
Lu Liu
R. Tan
82
32
0
17 Jan 2019
Unsupervised Domain Adaptation using Generative Models and
  Self-ensembling
Unsupervised Domain Adaptation using Generative Models and Self-ensembling
Eman T. Hassan
Xin Chen
David J. Crandall
OOD
54
7
0
02 Dec 2018
Semi-crowdsourced Clustering with Deep Generative Models
Semi-crowdsourced Clustering with Deep Generative Models
Yucen Luo
Tian Tian
Jiaxin Shi
Jun Zhu
Bo Zhang
47
18
0
29 Oct 2018
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
Bo Han
Gang Niu
Xingrui Yu
Quanming Yao
Miao Xu
Ivor Tsang
Masashi Sugiyama
NoLa
46
7
0
28 Sep 2018
On the Minimal Supervision for Training Any Binary Classifier from Only
  Unlabeled Data
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data
Nan Lu
Gang Niu
A. Menon
Masashi Sugiyama
MQ
94
88
0
31 Aug 2018
Tangent-Normal Adversarial Regularization for Semi-supervised Learning
Tangent-Normal Adversarial Regularization for Semi-supervised Learning
Ting Yu
Jingfeng Wu
Jinwen Ma
Zhanxing Zhu
58
35
0
18 Aug 2018
There Are Many Consistent Explanations of Unlabeled Data: Why You Should
  Average
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun
Marc Finzi
Pavel Izmailov
A. Wilson
281
244
0
14 Jun 2018
Semantic Cluster Unary Loss for Efficient Deep Hashing
Semantic Cluster Unary Loss for Efficient Deep Hashing
Shifeng Zhang
Jianmin Li
Bo Zhang
23
12
0
15 May 2018
Classification from Pairwise Similarity and Unlabeled Data
Classification from Pairwise Similarity and Unlabeled Data
Han Bao
Gang Niu
Masashi Sugiyama
259
89
0
12 Feb 2018
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