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Active Learning

1885 directly classified papers

Papers per year

Papers

Active Transfer Learning for Efficient Video-Specific Human Pose Estimation WACV 2024
Mode Estimation with Partial Feedback COLT 2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NIPS 2024
Efficient Algorithms for Learning Monophonic Halfspaces in Graphs COLT 2024
Active Classification with Few Queries under Misspecification NIPS 2024
Statistical curriculum learning: An elimination algorithm achieving an oracle risk COLT 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning AISTATS 2024
Margin-Based Active Learning of Classifiers JMLR 2024
Robust Offline Active Learning on Graphs NIPS 2024
Regimes of No Gain in Multi-class Active Learning JMLR 2024
Contextual Active Model Selection NIPS 2024
Active Learning of General Halfspaces: Label Queries vs Membership Queries NIPS 2024
Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand Learning AISTATS 2024
Expert with clustering: Hierarchical online preference learning framework L4DC 2024
Universal Rates for Active Learning NIPS 2024
Data Summarization via Bilevel Optimization JMLR 2024
Fast Rates for Bandit PAC Multiclass Classification NIPS 2024
Testable Learning with Distribution Shift COLT 2024
Contextual Bandits with Budgeted Information Reveal AISTATS 2024
Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment JMLR 2024
Amortized Active Causal Induction with Deep Reinforcement Learning NIPS 2024
Training Ensembles With Inliers and Outliers for Semi-Supervised Active Learning WACV 2024
Learning Fair Division from Bandit Feedback AISTATS 2024
SEL-BALD: Deep Bayesian Active Learning with Selective Labels NIPS 2024
Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits AISTATS 2024