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Semi-Supervised Learning

3,128 papers

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Papers

A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection CVPR 2020 An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training AAAI 2020 An Effective Perturbation Based Semi-Supervised Learning Method for Sound Event Detection Interspeech 2020 An Empirical Exploration of Local Ordering Pre-training for Structured Prediction EMNLP 2020 An Evaluation of Manual and Semi-Automatic Laughter Annotation Interspeech 2020 An Investigation of Cross-Cultural Semi-Supervised Learning for Continuous Affect Recognition Interspeech 2020 An Unbiased Risk Estimator for Learning with Augmented Classes NeurIPS 2020 ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them SemEval 2020 A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning EMNLP 2020 Arabic dialect identification: An Arabic-BERT model with data augmentation and ensembling strategy COLING 2020 Arabic Dialect Identification Using BERT-Based Domain Adaptation COLING 2020 Are Noisy Sentences Useless for Distant Supervised Relation Extraction? AAAI 2020 A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning EMNLP 2020 A Semi-Supervised Assessor of Neural Architectures CVPR 2020 A Semi-Supervised BERT Approach for Arabic Named Entity Recognition COLING 2020 Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification AAAI 2020 A Transductive Approach for Video Object Segmentation CVPR 2020 Augmenting Images for ASR and TTS Through Single-Loop and Dual-Loop Multimodal Chain Framework Interspeech 2020 A Unified Model for Financial Event Classification, Detection and Summarization IJCAI 2020 AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection AAAI 2020 Automatic Scoring at Multi-Granularity for L2 Pronunciation Interspeech 2020 Auxiliary Task Reweighting for Minimum-data Learning NeurIPS 2020 A Variational Approach for Learning from Positive and Unlabeled Data NeurIPS 2020 Bayesian Methods for Semi-supervised Text Annotation COLING 2020 Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs NeurIPS 2020