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Active Learning

1885 directly classified papers

Papers per year

Papers

Efficient Online Crowdsourcing with Complex Annotations AAAI 2024
Inversion-based Latent Bayesian Optimization NIPS 2024
Model-Free Preference Elicitation IJCAI 2024
Active Domain Adaptation with False Negative Prediction for Object Detection CVPR 2024
Optimizing Relation Extraction in Medical Texts through Active Learning: A Comparative Analysis of Trade-offs EACL 2024
ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use IJCAI 2024
Rich Human Feedback for Text-to-Image Generation CVPR 2024
Active Learning Guided by Efficient Surrogate Learners AAAI 2024
Optimal Design for Human Preference Elicitation NIPS 2024
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees AAAI 2024
Entropic Open-Set Active Learning AAAI 2024
Semi-supervised Active Learning for Video Action Detection AAAI 2024
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming AAAI 2024
Generator Assisted Mixture of Experts for Feature Acquisition in Batch AAAI 2024
Active Prompting with Chain-of-Thought for Large Language Models ACL 2024
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers ACL 2024
Optimal Decision Tree and Adaptive Submodular Ranking with Noisy Outcomes JMLR 2024
Mentored Learning: Improving Generalization and Convergence of Student Learner JMLR 2024
Sparse Recovery With Multiple Data Streams: An Adaptive Sequential Testing Approach JMLR 2024
Fast Rates in Pool-Based Batch Active Learning JMLR 2024
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer CVPR 2024
Using Large Language Models to Improve Query-based Constraint Acquisition IJCAI 2024
Optimal Clustering with Bandit Feedback JMLR 2024
Regimes of No Gain in Multi-class Active Learning JMLR 2024
Can Active Label Correction Improve LLM-based Modular AI Systems? EMNLP 2024