Active Learning

Learning from a Learning User for Optimal Recommendations ICML 2022 Learning From Failure: Data Capture in an Australian Aboriginal Community ACL 2022 Learning Low Degree Hypergraphs COLT 2022 Learning Neural Contextual Bandits through Perturbed Rewards ICLR 2022 Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback AISTATS 2022 Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement Learning MIDL 2022 Leveraging Initial Hints for Free in Stochastic Linear Bandits ALT 2022 Linear Bandit Algorithms with Sublinear Time Complexity ICML 2022 LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework NAACL 2022 LOG: Active Model Adaptation for Label-Efficient OOD Generalization NeurIPS 2022 Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation AISTATS 2022 Low-Budget Active Learning via Wasserstein Distance: An Integer Programming Approach ICLR 2022 Low-resource Interactive Active Labeling for Fine-tuning Language Models EMNLP 2022 Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback NAACL 2022 Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels NeurIPS 2022 Maximum sampled conditional likelihood for informative subsampling JMLR 2022 MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning MIDL 2022 Meta Agent Teaming Active Learning for Pose Estimation CVPR 2022 Metalearning Linear Bandits by Prior Update AISTATS 2022 Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning NeurIPS 2022 Metric-Fair Active Learning ICML 2022 MIC: A Multi-task Interactive Curation Tool EMNLP 2022 MLDemon:Deployment Monitoring for Machine Learning Systems AISTATS 2022 Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants NAACL 2022 Multi-class classification in nonparametric active learning AISTATS 2022