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Active Learning

1885 directly classified papers

Papers per year

Papers

Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree ACL 2023
ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion ACL 2023
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery AISTATS 2023
Active Ranking of Experts Based on their Performances in Many Tasks ICML 2023
Active Learning for Multilingual Semantic Parser EACL 2023
Reducing cohort bias in natural language understanding systems with targeted self-training scheme ACL 2023
Curating Datasets for Better Performance with Example Training Dynamics ACL 2023
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation EMNLP 2023
Actively Supervised Clustering for Open Relation Extraction ACL 2023
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information ACL 2023
Counterfactual Active Learning for Out-of-Distribution Generalization ACL 2023
Semantic Segmentation With Active Semi-Supervised Learning WACV 2023
Online Algorithms with Costly Predictions AISTATS 2023
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge ACL 2023
Active Learning based Structural Inference ICML 2023
Provable Safe Reinforcement Learning with Binary Feedback AISTATS 2023
LLMaAA: Making Large Language Models as Active Annotators EMNLP 2023
Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction ICML 2023
ALAMBIC : Active Learning Automation Methods to Battle Inefficient Curation EACL 2023
Active Exploration via Experiment Design in Markov Chains AISTATS 2023
Learning While Scheduling in Multi-Server Systems With Unknown Statistics: MaxWeight with Discounted UCB AISTATS 2023
Rethinking the Data Annotation Process for Multi-View 3D Pose Estimation With Active Learning and Self-Training WACV 2023
Deep Active Learning for Morphophonological Processing ACL 2023
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks EMNLP 2023
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach ACL 2023