active learning

Learning the Valuations of a k-demand Agent ICML 2020 Less Is Better: Unweighted Data Subsampling via Influence Function AAAI 2020 Localized active learning of Gaussian process state space models L4DC 2020 Merging Weak and Active Supervision for Semantic Parsing AAAI 2020 MetAL: Active Semi-Supervised Learning on Graphs via Meta-Learning ACML 2020 Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning NeurIPS 2020 Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model CVPR 2020 Noise-tolerant, Reliable Active Classification with Comparison Queries COLT 2020 On Deep Unsupervised Active Learning IJCAI 2020 Online Active Learning of Reject Option Classifiers AAAI 2020 On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks EMNLP 2020 Optimal Best-arm Identification in Linear Bandits NeurIPS 2020 Optimizing Data Usage via Differentiable Rewards ICML 2020 Pre-trained Language Model Based Active Learning for Sentence Matching COLING 2020 Probabilistic Active Meta-Learning NeurIPS 2020 Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes AAAI 2020 Ready Policy One: World Building Through Active Learning ICML 2020 Reinforced active learning for image segmentation ICLR 2020 Selection via Proxy: Efficient Data Selection for Deep Learning ICLR 2020 SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup EMNLP 2020 Sequential Mode Estimation with Oracle Queries AAAI 2020 Small-GAN: Speeding up GAN Training using Core-Sets ICML 2020 State-Relabeling Adversarial Active Learning CVPR 2020 Stopping criterion for active learning based on deterministic generalization bounds AISTATS 2020 Synbols: Probing Learning Algorithms with Synthetic Datasets NeurIPS 2020