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Active Learning
71 directly classified papers
Papers per year
2011: 2
2013: 2
2014: 2
2015: 2
2017: 2
2018: 2
2019: 3
2020: 15
2021: 9
2022: 4
2023: 9
2024: 12
2025: 7
Papers
LLMaAA: Making Large Language Models as Active Annotators
EMNLP 2023
ActiveAED: A Human in the Loop Improves Annotation Error Detection
ACL 2023
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition
EMNLP 2023
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation
AAAI 2022
DoSA : A System to Accelerate Annotations on Business Documents with Human-in-the-Loop
EMNLP 2022
Active Learning with Safety Constraints
NIPS 2022
Evaluating Pre-Trained Sentence-BERT with Class Embeddings in Active Learning for Multi-Label Text Classification
IJCNLP 2022
Investigating label suggestions for opinion mining in German Covid-19 social media
ACL 2021
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
NIPS 2021
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable
NIPS 2021
TAILOR: Teaching with Active and Incremental Learning for Object Registration
AAAI 2021
Transferable Query Selection for Active Domain Adaptation
CVPR 2021
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency
NIPS 2021
The Active Sensing Testbed
AAAI 2021
Nearest Neighbor Classifier Embedded Network for Active Learning
AAAI 2021
Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs
CVPR 2021
ALICE: Active Learning with Contrastive Natural Language Explanations
EMNLP 2020
DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool
COLING 2020
Annobot: Platform for Annotating and Creating Datasets through Conversation with a Chatbot
COLING 2020
Active Learning Approaches to Enhancing Neural Machine Translation
EMNLP 2020
A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection
AAAI 2020
Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes
AAAI 2020
Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles
AAAI 2020
Iterative Data Programming for Expanding Text Classification Corpora
AAAI 2020
Active Imitation Learning with Noisy Guidance
ACL 2020
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