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ConstraintMatch for Semi-constrained Clustering

ConstraintMatch for Semi-constrained Clustering

26 November 2023
Jann Goschenhofer
Bernd Bischl
Z. Kira
ArXiv (abs)PDFHTML

Papers citing "ConstraintMatch for Semi-constrained Clustering"

28 / 28 papers shown
Title
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
346
897
0
15 Oct 2021
You Never Cluster Alone
You Never Cluster Alone
Yuming Shen
Ziyi Shen
Menghan Wang
Jie Qin
Philip Torr
Ling Shao
SSL
82
45
0
03 Jun 2021
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
Tsung Wei Tsai
Chongxuan Li
Jun Zhu
51
61
0
05 May 2021
SPICE: Semantic Pseudo-labeling for Image Clustering
SPICE: Semantic Pseudo-labeling for Image Clustering
Chuang Niu
Hongming Shan
Ge Wang
VLM
168
154
0
17 Mar 2021
Analysing the Noise Model Error for Realistic Noisy Label Data
Analysing the Noise Model Error for Realistic Noisy Label Data
Michael A. Hedderich
D. Zhu
Dietrich Klakow
NoLa
71
19
0
24 Jan 2021
A Framework for Deep Constrained Clustering
A Framework for Deep Constrained Clustering
Hongjing Zhang
Tianyang Zhan
Sugato Basu
Ian Davidson
62
31
0
07 Jan 2021
Contrastive Clustering
Contrastive Clustering
Yunfan Li
Peng Hu
Zitao Liu
Dezhong Peng
Qiufeng Wang
Xi Peng
69
633
0
21 Sep 2020
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
Chia-Wen Kuo
Chih-Yao Ma
Jia-Bin Huang
Z. Kira
83
121
0
16 Jul 2020
SCAN: Learning to Classify Images without Labels
SCAN: Learning to Classify Images without Labels
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Marc Proesmans
Luc Van Gool
VLMSSL
113
540
0
25 May 2020
Generalized Entropy Regularization or: There's Nothing Special about
  Label Smoothing
Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing
Clara Meister
Elizabeth Salesky
Ryan Cotterell
UQCV
44
61
0
02 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
393
18,897
0
13 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
163
3,578
0
21 Jan 2020
A Classification-Based Approach to Semi-Supervised Clustering with
  Pairwise Constraints
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints
Marek Śmieja
Lukasz Struski
Mário A. T. Figueiredo
55
37
0
18 Jan 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
216
12,136
0
13 Nov 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Eric Arazo
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
121
843
0
08 Aug 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
167
3,035
0
06 May 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
49
161
0
15 Apr 2019
Multi-class Classification without Multi-class Labels
Multi-class Classification without Multi-class Labels
Yen-Chang Hsu
Zhaoyang Lv
Joel Schlosser
Phillip Odom
Z. Kira
96
168
0
02 Jan 2019
Invariant Information Clustering for Unsupervised Image Classification
  and Segmentation
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Xu Ji
João F. Henriques
Andrea Vedaldi
SSLVLM
102
853
0
17 Jul 2018
Deep Clustering for Unsupervised Learning of Visual Features
Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
SSL
90
1,902
0
15 Jul 2018
Semi-Supervised Clustering with Neural Networks
Semi-Supervised Clustering with Neural Networks
Ankita Shukla
Gullal Singh Cheema
Saket Anand
SSL
59
26
0
05 Jun 2018
Clustering-driven Deep Embedding with Pairwise Constraints
Clustering-driven Deep Embedding with Pairwise Constraints
Sharon Fogel
Hadar Averbuch-Elor
Jacob Goldberger
Daniel Cohen-Or
3DPC
57
48
0
22 Mar 2018
Learning to cluster in order to transfer across domains and tasks
Learning to cluster in order to transfer across domains and tasks
Yen-Chang Hsu
Zhaoyang Lv
Z. Kira
OOD
101
221
0
28 Nov 2017
Discriminatively Boosted Image Clustering with Fully Convolutional
  Auto-Encoders
Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders
Fengfu Li
Hong Qiao
Bo Zhang
Xuanyang Xi
SSL
72
250
0
23 Mar 2017
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
350
8,179
0
13 Aug 2016
Joint Unsupervised Learning of Deep Representations and Image Clusters
Joint Unsupervised Learning of Deep Representations and Image Clusters
Jianwei Yang
Devi Parikh
Dhruv Batra
SSL
69
819
0
13 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
Neural network-based clustering using pairwise constraints
Neural network-based clustering using pairwise constraints
Yen-Chang Hsu
Z. Kira
72
83
0
19 Nov 2015
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