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Active Learning

1885 directly classified papers

Papers per year

Papers

Guided K-best Selection for Semantic Parsing Annotation ACL 2022
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits AISTATS 2022
Efficient Argument Structure Extraction with Transfer Learning and Active Learning ACL 2022
Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons ACL 2022
Active Sampling for Text Classification with Subinstance Level Queries AAAI 2022
A Comparison of Strategies for Source-Free Domain Adaptation ACL 2022
Safe Active Learning for Multi-Output Gaussian Processes AISTATS 2022
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias WACV 2022
Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback NAACL 2022
Metalearning Linear Bandits by Prior Update AISTATS 2022
Phase transitions in when feedback is useful NIPS 2022
CHIA: CHoosing Instances to Annotate for Machine Translation EMNLP 2022
Detecting Minority Arguments for Mutual Understanding: A Moderation Tool for the Online Climate Change Debate COLING 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness NAACL 2022
Deep Multi-Fidelity Active Learning of High-Dimensional Outputs AISTATS 2022
”Diversity and Uncertainty in Moderation” are the Key to Data Selection for Multilingual Few-shot Transfer NAACL 2022
Metric-Fair Active Learning ICML 2022
Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits AISTATS 2022
Norm-Agnostic Linear Bandits AISTATS 2022
Maximum sampled conditional likelihood for informative subsampling JMLR 2022
Using Active Queries to Infer Symmetric Node Functions of Graph Dynamical Systems JMLR 2022
Active Structure Learning of Bayesian Networks in an Observational Setting JMLR 2022
A Lagrangian Duality Approach to Active Learning NIPS 2022
Efficient Active Learning with Abstention NIPS 2022
Active Learning for Multiple Target Models NIPS 2022