Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Learning Types
Machine Learning
›
Learning Types
›
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
ADAPTIVE IE: Investigating the Complementarity of Human-AI Collaboration to Adaptively Extract Information on-the-fly
COLING 2025
Active Multimodal Distillation for Few-shot Action Recognition
IJCAI 2025
Inconsistency-Based Federated Active Learning
IJCAI 2025
The Human in Interactive Machine Learning: Analysis and Perspectives for Ambient Intelligence (Abstract Reprint)
IJCAI 2025
AcZeroTS: Active Learning for Zero-shot Tissue Segmentation in Pathology Images
ICCV 2025
Consensus-Driven Active Model Selection
ICCV 2025
Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning
ACL 2025
Selective Shot Learning for Code Explanation
ACL 2025
Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation
EMNLP 2025
SOPL: A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models
EMNLP 2025
Pangram at GenAI Detection Task 3: An Active Learning Approach to Machine-Generated Text Detection
COLING 2025
Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design
IJCAI 2025
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams
CVPR 2025
Instance-wise Supervision-level Optimization in Active Learning
CVPR 2025
Dia-Lingle: A Gamified Interface for Dialectal Data Collection
ACL 2025
Enhancing LLM-as-a-Judge through Active-Sampling-based Prompt Optimization
ACL 2025
Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection
CVPR 2025
Influence-driven Curriculum Learning for Pre-training on Limited Data
EMNLP 2025
Towards Open-Ended Discovery for Low-Resource NLP
EMNLP 2025
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations
AAAI 2025
Active Learning for Image Segmentation with Binary User Feedback
WACV 2025
Can Unconfident LLM Annotations Be Used for Confident Conclusions?
NAACL 2025
CritiQ: Mining Data Quality Criteria from Human Preferences
ACL 2025
Personalized Clustering via Targeted Representation Learning
AAAI 2025
CUTN_Bio at BioLaySumm: Multi-Task Prompt Tuning with External Knowledge and Readability adaptation for Layman Summarization
ACL 2025
<
1
…
4
5
6
…
76
>