Active Learning

Quantifying and Narrowing the Unknown: Interactive Text-to-Video Retrieval via Uncertainty Minimization ICCV 2025 RAVEN++: Pinpointing Fine-Grained Violations in Advertisement Videos with Active Reinforcement Reasoning EMNLP 2025 Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning AAAI 2025 Relation-Augmented Dueling Bayesian Optimization via Preference Propagation IJCAI 2025 ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams CVPR 2025 Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach CVPR 2025 Rethinking Full Finetuning from Pretraining Checkpoints in Active Learning for African Languages ACL 2025 Revisiting Active Learning under (Human) Label Variation EMNLP 2025 Selective Shot Learning for Code Explanation ACL 2025 SOPL: A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models EMNLP 2025 Structural-Entropy-Based Sample Selection for Efficient and Effective Learning ICLR 2025 SubLIME: Subset Selection via Rank Correlation Prediction for Data-Efficient LLM Evaluation ACL 2025 Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation AAAI 2025 TestAgent: An Adaptive and Intelligent Expert for Human Assessment ACL 2025 The Human in Interactive Machine Learning: Analysis and Perspectives for Ambient Intelligence (Abstract Reprint) IJCAI 2025 The Parables of the Mustard Seed and the Yeast: Extremely Low-Budget, High-Performance Nighttime Semantic Segmentation AAAI 2025 ThinkQE: Query Expansion via an Evolving Thinking Process EMNLP 2025 To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation COLING 2025 To Label or Not to Label: PALM - A Predictive Model for Evaluating Sample Efficiency in Active Learning Models ICCV 2025 Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems IJCAI 2025 Towards Cost-Effective Learning: A Synergy of Semi-Supervised and Active Learning CVPR 2025 Towards Open-Ended Discovery for Low-Resource NLP EMNLP 2025 Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions AISTATS 2025 Towards Robust Incremental Learning Under Ambiguous Supervision IJCAI 2025 Uncertainty Herding: One Active Learning Method for All Label Budgets ICLR 2025