Active Learning

MetAL: Active Semi-Supervised Learning on Graphs via Meta-Learning ACML 2020 Meta-learning curiosity algorithms ICLR 2020 Model Selection for Production System via Automated Online Experiments NeurIPS 2020 Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning NeurIPS 2020 Neural Contextual Bandits with UCB-based Exploration ICML 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 Online Binary Space Partitioning Forests AISTATS 2020 Online Learning for Active Cache Synchronization ICML 2020 Online Learning in Contextual Bandits using Gated Linear Networks NeurIPS 2020 Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL IJCAI 2020 On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks EMNLP 2020 Optimal Best-arm Identification in Linear Bandits NeurIPS 2020 Optimal sampling in unbiased active learning AISTATS 2020 Optimizing Data Usage via Differentiable Rewards ICML 2020 Preselection Bandits ICML 2020 Pre-trained Language Model Based Active Learning for Sentence Matching COLING 2020 Probabilistic Active Meta-Learning NeurIPS 2020 Randomized Exploration in Generalized Linear Bandits AISTATS 2020 Ready Policy One: World Building Through Active Learning ICML 2020 Robust Regression for Safe Exploration in Control L4DC 2020 Selection via Proxy: Efficient Data Selection for Deep Learning ICLR 2020 SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup EMNLP 2020