active learning

Textual Data Augmentation for Efficient Active Learning on Tiny Datasets EMNLP 2020 Textual Membership Queries IJCAI 2020 The Power of Comparisons for Actively Learning Linear Classifiers NeurIPS 2020 The Sample Complexity of Best-k Items Selection from Pairwise Comparisons ICML 2020 TrainX – Named Entity Linking with Active Sampling and Bi-Encoders COLING 2020 Uncertainty and Traffic-Aware Active Learning for Semantic Parsing EMNLP 2020 Uncertainty Modeling for Machine Comprehension Systems using Efficient Bayesian Neural Networks COLING 2020 Understanding the Power and Limitations of Teaching with Imperfect Knowledge IJCAI 2020 ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation CVPR 2020 Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas AAAI 2020 HS^2: Active learning over hypergraphs with pointwise and pairwise queries AISTATS 2019 A Bayesian Approach for Sequence Tagging with Crowds EMNLP 2019 Academic Reader: An Interactive Question Answering System on Academic Literatures AAAI 2019 Active Annotation: Bootstrapping Annotation Lexicon and Guidelines for Supervised NLU Learning Interspeech 2019 Active Change-Point Detection ACML 2019 Active Domain Randomization CoRL 2019 Active Embedding Search via Noisy Paired Comparisons ICML 2019 Active Generative Adversarial Network for Image Classification AAAI 2019 ActiveHNE: Active Heterogeneous Network Embedding IJCAI 2019 Active Learning for Cost-Sensitive Classification JMLR 2019 Active Learning for Decision-Making from Imbalanced Observational Data ICML 2019 Active Learning for Deep Detection Neural Networks ICCV 2019 Active Learning for Domain Classification in a Commercial Spoken Personal Assistant Interspeech 2019 Active Learning for New Domains in Natural Language Understanding NAACL 2019 Active Learning for Probabilistic Structured Prediction of Cuts and Matchings ICML 2019