Active Learning

On Data Efficiency of Meta-learning AISTATS 2021 Online Active Learning with Surrogate Loss Functions NeurIPS 2021 Online Active Model Selection for Pre-trained Classifiers AISTATS 2021 Online A-Optimal Design and Active Linear Regression ICML 2021 Online Learning of Action Models for PDDL Planning IJCAI 2021 Online Limited Memory Neural-Linear Bandits with Likelihood Matching ICML 2021 Online Selective Classification with Limited Feedback NeurIPS 2021 Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits NeurIPS 2021 On Margin-Based Cluster Recovery with Oracle Queries NeurIPS 2021 On Statistical Bias In Active Learning: How and When to Fix It ICLR 2021 On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise ICML 2021 On the Value of Interaction and Function Approximation in Imitation Learning NeurIPS 2021 Optimal Algorithms for Range Searching over Multi-Armed Bandits IJCAI 2021 Paladin: an annotation tool based on active and proactive learning EACL 2021 Parallel Constraint Acquisition AAAI 2021 Phrase-level Active Learning for Neural Machine Translation EMNLP 2021 Planning Multimodal Exploratory Actions for Online Robot Attribute Learning RSS 2021 Possibilistic preference elicitation by minimax regret UAI 2021 Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers NeurIPS 2021 Pragmatic Image Compression for Human-in-the-Loop Decision-Making NeurIPS 2021 Preference Elicitation as Average-Case Sorting AAAI 2021 Problem Dependent View on Structured Thresholding Bandit Problems ICML 2021 QActor: Active Learning on Noisy Labels ACML 2021 Query complexity of least absolute deviation regression via robust uniform convergence COLT 2021 ReDAL: Region-Based and Diversity-Aware Active Learning for Point Cloud Semantic Segmentation ICCV 2021