active learning

Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception CVPR 2024 Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity NeurIPS 2024 Evolving Knowledge Distillation with Large Language Models and Active Learning COLING 2024 Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling ECCV 2024 Fair Active Learning in Low-Data Regimes UAI 2024 Fairness without Harm: An Influence-Guided Active Sampling Approach NeurIPS 2024 FastGAS: Fast Graph-based Annotation Selection for In-Context Learning ACL 2024 Few-shot Named Entity Recognition via Superposition Concept Discrimination COLING 2024 Generalized Category Discovery with Large Language Models in the Loop ACL 2024 Generalized Coverage for More Robust Low-Budget Active Learning ECCV 2024 Generative Active Learning for Long-tailed Instance Segmentation ICML 2024 GOMAA-Geo: GOal Modality Agnostic Active Geo-localization NeurIPS 2024 Hallucination Diversity-Aware Active Learning for Text Summarization NAACL 2024 Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification AAAI 2024 Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLMs-Powered Assistance ACL 2024 Hyperbolic Active Learning for Semantic Segmentation under Domain Shift ICML 2024 Improved Active Learning via Dependent Leverage Score Sampling ICLR 2024 Inconsistency-Based Data-Centric Active Open-Set Annotation AAAI 2024 Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation NeurIPS 2024 Interactive Deep Clustering via Value Mining NeurIPS 2024 Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations EMNLP 2024 ITAKE: Interactive Unstructured Text Annotation and Knowledge Extraction System with LLMs and ModelOps ACL 2024 Label-Efficient Model Selection for Text Generation ACL 2024 Learnability Matters: Active Learning for Video Captioning NeurIPS 2024 Learning the What and How of Annotation in Video Object Segmentation WACV 2024