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Semi-Supervised Learning

3,128 papers

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Papers

Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification NeurIPS 2021 Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification EACL 2021 Combining Label Propagation and Simple Models out-performs Graph Neural Networks ICLR 2021 Combining Weakly Supervised ML Techniques for Low-Resource NLU NAACL 2021 Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection AAAI 2021 Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation AISTATS 2021 Comparison of Remote Experiments Using Crowdsourcing and Laboratory Experiments on Speech Intelligibility Interspeech 2021 Confidence Scores Make Instance-dependent Label-noise Learning Possible ICML 2021 Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting AISTATS 2021 Consistency Regularization for Cross-Lingual Fine-Tuning ACL 2021 Consistent Semi-Supervised Graph Regularization for High Dimensional Data JMLR 2021 Content-based Stance Classification of Tweets about the 2020 Italian Constitutional Referendum NAACL 2021 Contextual Bandits with Delayed Feedback and Semi-supervised Learning (Student Abstract) AAAI 2021 Contextual Semi-Supervised Learning: An Approach to Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems Interspeech 2021 Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning AAAI 2021 Contrastive Estimation Reveals Topic Posterior Information to Linear Models JMLR 2021 Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels NeurIPS 2021 Contrastive Learning for Label Efficient Semantic Segmentation ICCV 2021 CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction ACL 2021 Co-training for Commit Classification EMNLP 2021 Country-level Arabic Dialect Identification Using Small Datasets with Integrated Machine Learning Techniques and Deep Learning Models EACL 2021 Credal Self-Supervised Learning NeurIPS 2021 CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning CVPR 2021 Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation CVPR 2021 Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation CVPR 2021