semi-supervised learning

Learning a Cost-Effective Annotation Policy for Question Answering EMNLP 2020 Learning from Aggregate Observations NeurIPS 2020 Learning from Label Proportions with Consistency Regularization ACML 2020 Learning from Positive and Unlabeled Data without Explicit Estimation of Class Prior AAAI 2020 Learning From Synthetic Animals CVPR 2020 Learning from Unlabelled Data for Clinical Semantic Textual Similarity EMNLP 2020 Learning Saliency Propagation for Semi-Supervised Instance Segmentation CVPR 2020 Learning to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection CVPR 2020 Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data IJCAI 2020 Learning with Unsure Responses AAAI 2020 Leveraging Unlabeled Speech for Sequence Discriminative Training of Acoustic Models Interspeech 2020 LNMap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space EMNLP 2020 Local Additivity Based Data Augmentation for Semi-supervised NER EMNLP 2020 LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets EMNLP 2020 Measuring and Improving the Use of Graph Information in Graph Neural Networks ICLR 2020 MetAL: Active Semi-Supervised Learning on Graphs via Meta-Learning ACML 2020 Meta-Neighborhoods NeurIPS 2020 Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach AISTATS 2020 MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification ACL 2020 Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract) AAAI 2020 Modeling Label Semantics for Predicting Emotional Reactions ACL 2020 MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation IJCAI 2020 Multimodal Semi-Supervised Learning Framework for Punctuation Prediction in Conversational Speech Interspeech 2020 Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes AAAI 2020 Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation AAAI 2020