Towards Semi-supervised Learning with Non-random Missing Labels Article Swipe
Yue Duan
,
Zhen Zhao
,
Qi Lei
,
Luping Zhou
,
Lei Wang
,
Yinghuan Shi
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2308.08872
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2308.08872
Semi-supervised learning (SSL) tackles the label missing problem by enabling the effective usage of unlabeled data. While existing SSL methods focus on the traditional setting, a practical and challenging scenario called label Missing Not At Random (MNAR) is usually ignored. In MNAR, the labeled and unlabeled data fall into different class distributions resulting in biased label imputation, which deteriorates the performance of SSL models. In this work, class transition tracking based Pseudo-Rectifying Guidance (PRG) is devised for MNAR. We explore the class-level guidance information obtained by the Markov random walk, which is modeled on a dynamically created graph built over the class tracking matrix. PRG unifies the historical information of class distribution and class transitions caused by the pseudo-rectifying procedure to maintain the model's unbiased enthusiasm towards assigning pseudo-labels to all classes, so as the quality of pseudo-labels on both popular classes and rare classes in MNAR could be improved. Finally, we show the superior performance of PRG across a variety of MNAR scenarios, outperforming the latest SSL approaches combining bias removal solutions by a large margin. Code and model weights are available at https://github.com/NJUyued/PRG4SSL-MNAR.
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- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2308.08872
- https://arxiv.org/pdf/2308.08872
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386044531
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4386044531Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2308.08872Digital Object Identifier
- Title
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Towards Semi-supervised Learning with Non-random Missing LabelsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-08-17Full publication date if available
- Authors
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Yue Duan, Zhen Zhao, Qi Lei, Luping Zhou, Lei Wang, Yinghuan ShiList of authors in order
- Landing page
-
https://arxiv.org/abs/2308.08872Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2308.08872Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2308.08872Direct OA link when available
- Concepts
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Computer science, Missing data, Artificial intelligence, Margin (machine learning), Class (philosophy), Machine learning, Random walk, Imputation (statistics), Markov chain, Mathematics, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.deteriorates | 58 |
| abstract_inverted_index.distribution | 111 |
| abstract_inverted_index.distributions | 51 |
| abstract_inverted_index.outperforming | 164 |
| abstract_inverted_index.pseudo-labels | 128, 137 |
| abstract_inverted_index.Semi-supervised | 0 |
| abstract_inverted_index.Pseudo-Rectifying | 71 |
| abstract_inverted_index.pseudo-rectifying | 118 |
| abstract_inverted_index.https://github.com/NJUyued/PRG4SSL-MNAR. | 184 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.6800000071525574 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile |