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[NAACL 2021] - Self-Training with Weak Supervision. [Paper] | [PDF] | [Code] | [BIB]
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[arXiv 2021] - Streaming Self-Training via Domain-Agnostic Unlabeled Images. [Paper] | [PDF] | [Project] | [BIB]
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[CVPR 2021] - One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation. [Paper] | [PDF] | [Code] | [BIB]
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[CVPR 2021] - MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection. [Paper] | [PDF] | [Project] | [BIB]
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[ICPR 2020] - Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training. [Paper] | [PDF] | [Code] | [BIB]
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[arXiv 2021] - The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation. [Paper] | [PDF] | [Author] | [BIB]
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[CVPR 2021] - ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection. [Paper] | [PDF] | [Code] | [BIB]
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[arXiv 2021] - Cycle Self-Training for Domain Adaptation. [Paper] | [PDF] | [BIB]
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[arXiv 2021] - CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning. [Paper] | [PDF] | [BIB]
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[arXiv 2021] - Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training. [Paper] | [PDF] | [Code] | [BIB]
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[IMWUT 2021] - SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data. [Paper] | [Paper] | [PDF] | [BIB]
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[ICPR 2020] - Energy-constrained Self-training for Unsupervised Domain Adaptation. [Paper] | [PDF] | [BIB]
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[arXiv 2020] - Out-distribution aware Self-training in an Open World Setting. [Paper] | [PDF] | [BIB]
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[arXiv 2020] - Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction. [Paper] | [PDF] | [BIB]
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[arXiv 2020] - A new semi-supervised self-training method for lung cancer prediction. [Paper] | [PDF] | [BIB]
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[ECCV 2020] - Two-phase Pseudo Label Densification for Self-training based Domain Adaptation. [Paper] | [Paper] | [PDF] | [BIB]
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[ICLR 2021] - Two-phase Pseudo Label Densification for Self-training based Domain Adaptation. [Paper] | [Paper] | [PDF] | [Code] | [BIB]
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[arXiv 2020] - Self-Training for Class-Incremental Semantic Segmentation. [Paper] | [PDF] | [BIB]
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[arXiv 2020] - A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. [Paper] | [PDF] | [BIB]
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Arxiv - Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling. [Paper] | [PDF]
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Arxiv - Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data. [Paper] [PDF]
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Arxiv - XLST: Cross-lingual Self-training to Learn Multilingual Representation for Low Resource Speech Recognition. [Paper] [PDF]
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[ICASSP 2021] - Semi-Supervised Singing Voice Separation with Noisy Self-Training. [Paper] [PDF]