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JointMatch: A Unified Approach for Diverse and Collaborative
  Pseudo-Labeling to Semi-Supervised Text Classification

JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification

23 October 2023
Henry Peng Zou
Cornelia Caragea
ArXivPDFHTML

Papers citing "JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification"

10 / 10 papers shown
Title
TCProF: Time-Complexity Prediction SSL Framework
TCProF: Time-Complexity Prediction SSL Framework
Joonghyuk Hahn
Hyeseon Ahn
Jungin Kim
Soohan Lim
Yo-Sub Han
77
0
0
10 Feb 2025
SAT: Improving Semi-Supervised Text Classification with Simple
  Instance-Adaptive Self-Training
SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training
Hui Chen
Wei Han
Soujanya Poria
60
14
0
23 Oct 2022
Progressive Class Semantic Matching for Semi-supervised Text
  Classification
Progressive Class Semantic Matching for Semi-supervised Text Classification
Hai-Ming Xu
Lingqiao Liu
Ehsan Abbasnejad
VLM
56
11
0
20 May 2022
MixText: Linguistically-Informed Interpolation of Hidden Space for
  Semi-Supervised Text Classification
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
Jiaao Chen
Zichao Yang
Diyi Yang
VLM
84
364
0
25 Apr 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking
Identifying Mislabeled Data using the Area Under the Margin Ranking
Geoff Pleiss
Tianyi Zhang
Ethan R. Elenberg
Kilian Q. Weinberger
NoLa
81
272
0
28 Jan 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
155
3,545
0
21 Jan 2020
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
119
840
0
08 Aug 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
126
2,313
0
29 Apr 2019
How does Disagreement Help Generalization against Label Corruption?
How does Disagreement Help Generalization against Label Corruption?
Xingrui Yu
Bo Han
Jiangchao Yao
Gang Niu
Ivor W. Tsang
Masashi Sugiyama
NoLa
58
781
0
14 Jan 2019
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
273
9,759
0
25 Oct 2017
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