active learning

Data Summarization via Bilevel Optimization JMLR 2024 Deep Active Learning with Noise Stability AAAI 2024 Deep Submodular Peripteral Networks NeurIPS 2024 Demo: Enhancing Wildlife Acoustic Data Annotation Efficiency through Transfer and Active Learning IJCAI 2024 DeMuX: Data-efficient Multilingual Learning NAACL 2024 Denoising Labeled Data for Comment Moderation Using Active Learning COLING 2024 Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation AAAI 2024 DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers EMNLP 2024 DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling AAAI 2024 Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection CoRL 2024 dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans NeurIPS 2024 Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach AISTATS 2024 Efficient Active Learning with Adapters EMNLP 2024 Efficient Algorithms for Learning Monophonic Halfspaces in Graphs COLT 2024 Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024 Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024 Efficient Online Crowdsourcing with Complex Annotations AAAI 2024 ELAD: Explanation-Guided Large Language Models Active Distillation ACL 2024 Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism NeurIPS 2024 Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling AAAI 2024 Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection NeurIPS 2024 Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation EACL 2024 Entity Alignment with Noisy Annotations from Large Language Models NeurIPS 2024 Entropic Open-Set Active Learning AAAI 2024 Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024