Active Learning

ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data AISTATS 2024 ALVIN: Active Learning Via INterpolation EMNLP 2024 Amortized Active Causal Induction with Deep Reinforcement Learning NeurIPS 2024 AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets NAACL 2024 An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models ACL 2024 An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations IJCAI 2024 An L* Algorithm for Deterministic Weighted Regular Languages EMNLP 2024 Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost COLING 2024 Annotator-Centric Active Learning for Subjective NLP Tasks EMNLP 2024 APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching NAACL 2024 ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation ACL 2024 Are You Sure? Rank Them Again: Repeated Ranking For Better Preference Datasets EMNLP 2024 Asking More Informative Questions for Grounded Retrieval NAACL 2024 Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions EACL 2024 A surprisal oracle for when every layer counts CoNLL 2024 A Virtual Driving Instructor That Generates Personalized Driving Lessons Based on Student Skill Level AAAI 2024 Bandits with Preference Feedback: A Stackelberg Game Perspective NeurIPS 2024 Bayesian Online Learning for Consensus Prediction AISTATS 2024 Best Arm Identification with Resource Constraints AISTATS 2024 Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling AAAI 2024 Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification WACV 2024 BiCAL: Bi-directional Contrastive Active Learning for Clinical Report Generation ACL 2024 Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments IJCAI 2024 Boundary Matters: A Bi-Level Active Finetuning Method NeurIPS 2024 Cache & Distil: Optimising API Calls to Large Language Models ACL 2024