Active Learning

4D Point Cloud Segmentation via Active Test-Time Adaptation AAAI 2026 A²LC: Active and Automated Label Correction for Semantic Segmentation AAAI 2026 A Complexity Measure for Active Learning in Multi-group Mean Estimation COLT 2026 Active3D: Active High-Fidelity 3D Reconstruction via Multi-Level Uncertainty Quantification AAAI 2026 ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving CVPR 2026 Active Generalized Category Discovery with Diverse LLM Feedback EACL 2026 Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling AAAI 2026 Active Learning for Corpus Refinement: Cost-Effective Preprocessing to Improve Validity of Applied Quantitative Text Analysis EACL 2026 Active Learning of Symbolic Automata over Rational Numbers AAAI 2026 Active Learning on Adversarially Corrupted Graphs COLT 2026 Active Learning with Non-Uniform Costs for African Natural Language Processing EACL 2026 Actively Learning Halfspaces without Synthetic Data COLT 2026 Active Multi-source Domain Adaptation for Multimodal Fake News Detection AAAI 2026 Advancing Out-of-Distribution Detection Across Diverse Scenarios AAAI 2026 AEGIS: Toward Expert-in-the-loop Industrial Anomaly Detection AAAI 2026 Annotation-Efficient Coreset Selection for Context-dependent Segmentation CVPR 2026 Best Arm Identification with Biased Contexts AAAI 2026 Breaking the Passive Learning Trap: An Active Perception Strategy for Human Motion Prediction AAAI 2026 Budgeted Online Active Learning with Expert Advice and Episodic Priors AAAI 2026 CAL-Log: Cost-Aware Active Learning with Logarithmic Cognitive Effort Modeling and Online Adaptation to Human Annotation Behavior ACL 2026 Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification AAAI 2026 Cleaning the Pool: Progressive Filtering of Unlabeled Pools in Deep Active Learning CVPR 2026 Client-level Active Error Correction in Distributed Learning AAAI 2026 COBALT: Censored Optimization and Bayesian Active Learning Techniques UAI 2026 Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning EACL 2026