Active Learning

ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion ACL 2023 ActiveAED: A Human in the Loop Improves Annotation Error Detection ACL 2023 Active Bipartite Ranking NeurIPS 2023 Active causal structure learning with advice ICML 2023 Active Cost-aware Labeling of Streaming Data AISTATS 2023 Active Coverage for PAC Reinforcement Learning COLT 2023 Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition CVPR 2023 Active Exploration via Experiment Design in Markov Chains AISTATS 2023 Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm CVPR 2023 Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks EMNLP 2023 Active Learning-Based Species Range Estimation NeurIPS 2023 Active Learning based Structural Inference ICML 2023 Active Learning for Abnormal Lung Sound Data Curation and Detection in Asthma Interspeech 2023 Active Learning for Multilingual Semantic Parser EACL 2023 Active Learning for Natural Language Generation EMNLP 2023 Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation ICLR 2023 Active Learning for Semantic Segmentation with Multi-class Label Query NeurIPS 2023 Active Learning for Single Neuron Models with Lipschitz Non-Linearities AISTATS 2023 Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle ICLR 2023 Active Learning Principles for In-Context Learning with Large Language Models EMNLP 2023 Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee ACML 2023 Actively Supervised Clustering for Open Relation Extraction ACL 2023 Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice NeurIPS 2023 Active metric learning and classification using similarity queries UAI 2023 Active Neural Mapping ICCV 2023