← Learning Paradigms
Machine Learning › Learning Paradigms ›

Active Learning

323 directly classified papers

Papers per year

Papers

Active Learning-Based Species Range Estimation NIPS 2023
STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations AAAI 2023
EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition AAAI 2023
D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias ACL 2023
Multi-Classifier Adversarial Optimization for Active Learning AAAI 2023
Beam Search Optimized Batch Bayesian Active Learning AAAI 2023
Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree ACL 2023
Reinforced Active Learning for Low-Resource, Domain-Specific, Multi-Label Text Classification ACL 2023
Refined Mechanism Design for Approximately Structured Priors via Active Regression NIPS 2023
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach ACL 2023
ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation EMNLP 2023
Active Learning for Semantic Segmentation with Multi-class Label Query NIPS 2023
Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice NIPS 2023
ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion ACL 2023
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information ACL 2023
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation NIPS 2023
Active Learning for Domain Adaptation: An Energy-Based Approach AAAI 2022
Boosting Active Learning via Improving Test Performance AAAI 2022
TrustAL: Trustworthy Active Learning Using Knowledge Distillation AAAI 2022
Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces AAAI 2022
Evaluating Pre-Trained Sentence-BERT with Class Embeddings in Active Learning for Multi-Label Text Classification IJCNLP 2022
GEQCA: Generic Qualitative Constraint Acquisition AAAI 2022
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation AAAI 2022
Entropy-Based Active Learning for Object Detection With Progressive Diversity Constraint CVPR 2022
Learning From Failure: Data Capture in an Australian Aboriginal Community ACL 2022