Active Learning

Model-Free Active Exploration in Reinforcement Learning NeurIPS 2023 Multi-Classifier Adversarial Optimization for Active Learning AAAI 2023 Multi-Objective GFlowNets ICML 2023 Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering ACL 2023 Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning NeurIPS 2023 Multi-task Representation Learning for Pure Exploration in Linear Bandits ICML 2023 Multi-View Active Fine-Grained Visual Recognition ICCV 2023 Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment NeurIPS 2023 Near-optimal Policy Identification in Active Reinforcement Learning ICLR 2023 Neural Design for Genetic Perturbation Experiments ICLR 2023 Neural Machine Translation through Active Learning on low-resource languages: The case of Spanish to Mapudungun ACL 2023 NewsPanda: Media Monitoring for Timely Conservation Action AAAI 2023 No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning NeurIPS 2023 Non-Asymptotic Analysis of a UCB-based Top Two Algorithm NeurIPS 2023 Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery AISTATS 2023 Nonparametric Indirect Active Learning AISTATS 2023 Nonparametric Iterative Machine Teaching ICML 2023 Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL EMNLP 2023 Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning NeurIPS 2023 Novel Intent Detection and Active Learning Based Classification (Student Abstract) AAAI 2023 On Batch Teaching Without Collusion JMLR 2023 On Dataset Transferability in Active Learning for Transformers ACL 2023 Online Adaptive Temporal Memory With Certainty Estimation for Human Trajectory Prediction WACV 2023 Online Algorithms with Costly Predictions AISTATS 2023 On the Limitations of Simulating Active Learning ACL 2023