Active Learning

Dialog Policy Learning for Joint Clarification and Active Learning Queries AAAI 2021 Dichotomous Optimistic Search to Quantify Human Perception ICML 2021 Directing Human Attention in Event Localization for Clinical Timeline Creation MLHC 2021 Disposable Linear Bandits for Online Recommendations AAAI 2021 Diversity-Aware Batch Active Learning for Dependency Parsing NAACL 2021 Diversity Enhanced Active Learning with Strictly Proper Scoring Rules NeurIPS 2021 Dual Active Learning for Both Model and Data Selection IJCAI 2021 Dueling Bandits with Team Comparisons NeurIPS 2021 Dynabench: Rethinking Benchmarking in NLP NAACL 2021 Efficient Active Learning for Gaussian Process Classification by Error Reduction NeurIPS 2021 Efficient Bandit Convex Optimization: Beyond Linear Losses COLT 2021 Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure AAAI 2021 Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback ALT 2021 Efficient Video Annotation With Visual Interpolation and Frame Selection Guidance WACV 2021 Embodied Visual Active Learning for Semantic Segmentation AAAI 2021 Experimental Design for Regret Minimization in Linear Bandits AISTATS 2021 Exploratory Machine Learning with Unknown Unknowns AAAI 2021 Exponential savings in agnostic active learning through abstention COLT 2021 Exponential Weights Algorithms for Selective Learning COLT 2021 Fast active learning for pure exploration in reinforcement learning ICML 2021 Fast Pure Exploration via Frank-Wolfe NeurIPS 2021 Feedback Coding for Active Learning AISTATS 2021 Field-Guide-Inspired Zero-Shot Learning ICCV 2021 FITAnnotator: A Flexible and Intelligent Text Annotation System NAACL 2021 FLAR: A Unified Prototype Framework for Few-Sample Lifelong Active Recognition ICCV 2021