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partial annotation

26 papers

Papers

Task Prototype-Based Knowledge Retrieval for Multi-Task Learning from Partially Annotated Data AAAI 2026 More Reliable Pseudo-labels, Better Performance: A Generalized Approach to Single Positive Multi-label Learning ICCV 2025 PositiveCoOp: Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations WACV 2025 Active Learning Design Choices for NER with Transformers COLING 2024 DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data CVPR 2024 Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation CVPR 2024 Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training EMNLP 2023 Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning ACL 2023 Learning with Partial Annotations for Event Detection ACL 2023 Saliency Regularization for Self-Training with Partial Annotations ICCV 2023 Learning Fair Classifiers With Partially Annotated Group Labels CVPR 2022 Learning Multiple Dense Prediction Tasks From Partially Annotated Data CVPR 2022 Multi-Label Classification With Partial Annotations Using Class-Aware Selective Loss CVPR 2022 Crowd Counting With Partial Annotations in an Image ICCV 2021 Exploiting weakly supervised visual patterns to learn from partial annotations NeurIPS 2020 Partially-supervised Mention Detection COLING 2020 Learning a Unified Named Entity Tagger from Multiple Partially Annotated Corpora for Efficient Adaptation CoNLL 2019 Named Entity Recognition with Partially Annotated Training Data CoNLL 2019 Partial Or Complete, That’s The Question NAACL 2019 Reinforcement-based denoising of distantly supervised NER with partial annotation EMNLP 2019 Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning COLING 2018 Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples ACL 2018 Dependency Parsing with Partial Annotations: An Empirical Comparison IJCNLP 2017 Incomplete Attribute Learning with auxiliary labels IJCAI 2017 Interval Insensitive Loss for Ordinal Classification ACML 2014