Active Learning
1,983 papers
Papers per year
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12
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27
38
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47
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77
109
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Papers
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling
AAAI 2024
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
ICLR 2024
Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition
NeurIPS 2024
Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments
NeurIPS 2024
Effective In-Context Example Selection through Data Compression
ACL 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
Efficient Variational Sequential Information Control
AISTATS 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 Preference-based Linear Bandits via Human Response Time
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
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
Evidential Uncertainty Quantification: A Variance-Based Perspective
WACV 2024
Evolving Knowledge Distillation with Large Language Models and Active Learning
COLING 2024