Active Learning

Optimal Clustering with Noisy Queries via Multi-Armed Bandit ICML 2022 Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits AISTATS 2022 Optimizing Data Collection for Machine Learning NeurIPS 2022 ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift NeurIPS 2022 PAC Top-k Identification under SST in Limited Rounds AISTATS 2022 PaintTeR: Automatic Extraction of Text Spans for Generating Art-Centered Questions AAAI 2022 Pareto Optimal Model Selection in Linear Bandits AISTATS 2022 Partial likelihood Thompson sampling UAI 2022 Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training EMNLP 2022 Phase transitions in when feedback is useful NeurIPS 2022 POEM: Out-of-Distribution Detection with Posterior Sampling ICML 2022 POTATO: The Portable Text Annotation Tool EMNLP 2022 Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning NeurIPS 2022 Reinforcement Learning for Cross-Domain Hyper-Heuristics IJCAI 2022 Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers ACL 2022 Robustly-reliable learners under poisoning attacks COLT 2022 Safe Active Learning for Multi-Output Gaussian Processes AISTATS 2022 Sample Efficient Learning of Predictors that Complement Humans ICML 2022 Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times ICML 2022 Semi-supervised Active Linear Regression NeurIPS 2022 Shuffle Private Linear Contextual Bandits ICML 2022 Similarity Search for Efficient Active Learning and Search of Rare Concepts AAAI 2022 Simulating Bandit Learning from User Feedback for Extractive Question Answering ACL 2022 Single Image Object Counting and Localizing Using Active-Learning WACV 2022 Solving Multi-Arm Bandit Using a Few Bits of Communication AISTATS 2022