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Methodology
← Learning Types
Machine Learning
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Active Learning
1885 directly classified papers
Papers per year
2001: 1
2002: 1
2004: 2
2005: 4
2006: 8
2007: 12
2008: 8
2009: 11
2010: 20
2011: 26
2012: 38
2013: 50
2014: 46
2015: 39
2016: 45
2017: 76
2018: 102
2019: 160
2020: 152
2021: 232
2022: 215
2023: 252
2024: 222
2025: 119
2026: 44
Papers
Preference Elicitation for Step-Wise Explanations in Logic Puzzles
AAAI 2026
AEGIS: Toward Expert-in-the-loop Industrial Anomaly Detection
AAAI 2026
Advancing Out-of-Distribution Detection Across Diverse Scenarios
AAAI 2026
VALIANT: Prompt Instability for Active Learning in Black-Box Medical Imaging
AAAI 2026
Breaking the Passive Learning Trap: An Active Perception Strategy for Human Motion Prediction
AAAI 2026
A²LC: Active and Automated Label Correction for Semantic Segmentation
AAAI 2026
Active3D: Active High-Fidelity 3D Reconstruction via Multi-Level Uncertainty Quantification
AAAI 2026
Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling
AAAI 2026
Towards Robust Human–AI Decision-Making via Learning-to-Defer
AAAI 2026
Creating Generalizable Data-Driven Approaches for Biodiversity Monitoring via Acoustics
AAAI 2026
Efficient Contextual Bandit Learning via Reward-Space Sampling and Online Optimization (Student Abstract)
AAAI 2026
Preference Is More than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback
AAAI 2026
Know Your Neighbors: Subgraph Importance Sampling for Heterophilic Graph Active Learning
AAAI 2026
Hierarchical Dataset Selection for High-Quality Data Sharing
AAAI 2026
Client-level Active Error Correction in Distributed Learning
AAAI 2026
Constrained Best Arm Identification with Tests for Feasibility
AAAI 2026
Best Arm Identification with Biased Contexts
AAAI 2026
Active Learning with Non-Uniform Costs for African Natural Language Processing
EACL 2026
Feedback-Aware Prompt Optimization Framework for Generating Job Postings
EACL 2026
Consensus-Driven Active Model Selection
ICCV 2025
To Label or Not to Label: PALM - A Predictive Model for Evaluating Sample Efficiency in Active Learning Models
ICCV 2025
Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation
EMNLP 2025
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
CVPR 2025
RAVEN++: Pinpointing Fine-Grained Violations in Advertisement Videos with Active Reinforcement Reasoning
EMNLP 2025
Instance-wise Supervision-level Optimization in Active Learning
CVPR 2025
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