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Active Learning

1,911 papers

Papers per year

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20
39
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Papers

Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation ICML 2020
The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons ICML 2020
Optimizing Data Usage via Differentiable Rewards ICML 2020
Thompson Sampling via Local Uncertainty ICML 2020
Learning the Valuations of a $k$-demand Agent ICML 2020
Neural Contextual Bandits with UCB-based Exploration ICML 2020
Batch Decorrelation for Active Metric Learning IJCAI 2020
On Deep Unsupervised Active Learning IJCAI 2020
Understanding the Power and Limitations of Teaching with Imperfect Knowledge IJCAI 2020
Textual Membership Queries IJCAI 2020
Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL IJCAI 2020
Learning in the Wild with Incremental Skeptical Gaussian Processes IJCAI 2020
Class Prior Estimation in Active Positive and Unlabeled Learning IJCAI 2020
Learning URI Selection Criteria to Improve the Crawling of Linked Open Data (Extended Abstract) IJCAI 2020
Beyond Labels: Knowledge Elicitation using Deep Metric Learning and Psychometric Testing IJCAI 2020
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting JMLR 2020
Actively Learning Gaussian Process Dynamics L4DC 2020
Robust Regression for Safe Exploration in Control L4DC 2020
Localized Learning of Robust Controllers for Networked Systems with Dynamic Topology L4DC 2020
Learning for Safety-Critical Control with Control Barrier Functions L4DC 2020
CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output MLHC 2020
GPIRT: A Gaussian Process Model for Item Response Theory UAI 2020
Active Model Estimation in Markov Decision Processes UAI 2020
Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits UAI 2020
Active Adversarial Domain Adaptation WACV 2020