Active Learning

Active Observing in Continuous-time Control NeurIPS 2023 Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Training EACL 2023 Active Policy Improvement from Multiple Black-box Oracles ICML 2023 Active Ranking of Experts Based on their Performances in Many Tasks ICML 2023 Active Reasoning in an Open-World Environment NeurIPS 2023 Active representation learning for general task space with applications in robotics NeurIPS 2023 Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need ICCV 2023 Active Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits RSS 2023 Active Vision Reinforcement Learning under Limited Visual Observability NeurIPS 2023 Active Visual Exploration Based on Attention-Map Entropy IJCAI 2023 ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation EMNLP 2023 Adaptation to the Range in K-Armed Bandits JMLR 2023 Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions ICML 2023 Adaptive Selective Sampling for Online Prediction with Experts NeurIPS 2023 Adaptive Superpixel for Active Learning in Semantic Segmentation ICCV 2023 Additive Causal Bandits with Unknown Graph ICML 2023 A Framework and Benchmark for Deep Batch Active Learning for Regression JMLR 2023 Agile Modeling: From Concept to Classifier in Minutes ICCV 2023 Agnostic Multi-Group Active Learning NeurIPS 2023 A Holistic Approach to Undesired Content Detection in the Real World AAAI 2023 A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets IJCAI 2023 ALAMBIC : Active Learning Automation Methods to Battle Inefficient Curation EACL 2023 ALANNO: An Active Learning Annotation System for Mortals EACL 2023 Algorithm Selection for Deep Active Learning with Imbalanced Datasets NeurIPS 2023 ALWOD: Active Learning for Weakly-Supervised Object Detection ICCV 2023