 A Cross-Domain Benchmark for Active LearningNeural Information Processing Systems (NeurIPS), 2024 |
 On the Fragility of Active Learners for Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 |
 Model Uncertainty based Active Learning on Tabular Data using Boosted
TreesInternational Conference on AI-ML-Systems (ICA), 2023 |
 On the Limitations of Simulating Active LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 On Dataset Transferability in Active Learning for TransformersAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Active Learning with Combinatorial CoverageInternational Conference on Machine Learning and Applications (ICMLA), 2022 |
 Investigating Multi-source Active Learning for Natural Language
InferenceConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 |
 Few-Shot Preference Learning for Human-in-the-Loop RLConference on Robot Learning (CoRL), 2022 Joey Hejna Dorsa Sadigh |
 Improving Low-Resource Question Answering using Active Learning in
Multiple StagesInternational Conference on Artificial Neural Networks (ICANN), 2022 |
 ALANNO: An Active Learning Annotation System for MortalsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022 |
 A Survey of Active Learning for Natural Language ProcessingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL), 2022 |
 Active Few-Shot Learning with FASLInternational Conference on Applications of Natural Language to Data Bases (NLDB), 2022 |
 Active Learning Helps Pretrained Models Learn the Intended TaskNeural Information Processing Systems (NeurIPS), 2022 |
 Efficient Argument Structure Extraction with Transfer Learning and
Active LearningFindings (Findings), 2022 |
 Structurally Diverse Sampling for Sample-Efficient Training and
Comprehensive EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Onception: Active Learning with Expert Advice for Real World Machine
TranslationInternational Conference on Computational Logic (ICCL), 2022 |
 FAMIE: A Fast Active Learning Framework for Multilingual Information
ExtractionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 |
 Active Learning on a Budget: Opposite Strategies Suit High and Low
BudgetsInternational Conference on Machine Learning (ICML), 2022 |
 TrustAL: Trustworthy Active Learning using Knowledge DistillationAAAI Conference on Artificial Intelligence (AAAI), 2022 |
 Practical Active Learning with Model Selection for Small DataInternational Conference on Machine Learning and Applications (ICMLA), 2021 |
 Multi-View Active Learning for Short Text Classification in
User-Generated DataConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
 Cartography Active LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
 Active Learning by Acquiring Contrastive ExamplesConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
 Fluent: An AI Augmented Writing Tool for People who StutterInternational ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), 2021 |
 The Application of Active Query K-Means in Text ClassificationICON (ICON), 2021 |
