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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
Quantifying and Narrowing the Unknown: Interactive Text-to-Video Retrieval via Uncertainty Minimization
ICCV 2025
From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision
ICCV 2025
Active Learning for Multidialectal Arabic POS Tagging
EMNLP 2025
SOPL: A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models
EMNLP 2025
Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts
EMNLP 2025
Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification
EMNLP 2025
Data-Efficient Automatic Prompt Optimization for Memory-Enhanced Conversational Agents
EMNLP 2025
Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm
EMNLP 2025
Joint Out-of-Distribution Filtering and Data Discovery Active Learning
CVPR 2025
CRAAC: Consistency Regularised Active Learning with Automatic Corrections for Real-Life Road Image Annotations
WACV 2025
Endoscopic Scoring and Localization in Unconstrained Clinical Trial Videos
WACV 2025
Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation
WACV 2025
Can a Neural Model Guide Fieldwork? A Case Study on Morphological Data Collection
COLING 2025
An Active Learning Framework for Inclusive Generation by Large Language Models
COLING 2025
ADAPTIVE IE: Investigating the Complementarity of Human-AI Collaboration to Adaptively Extract Information on-the-fly
COLING 2025
Active Learning for Vision Language Models
WACV 2025
CUTN_Bio at BioLaySumm: Multi-Task Prompt Tuning with External Knowledge and Readability adaptation for Layman Summarization
ACL 2025
Influence-driven Curriculum Learning for Pre-training on Limited Data
EMNLP 2025
When Benchmarks Talk: Re-Evaluating Code LLMs with Interactive Feedback
ACL 2025
InsBank: Evolving Instruction Subset for Ongoing Alignment
EMNLP 2025
Selective Shot Learning for Code Explanation
ACL 2025
TestAgent: An Adaptive and Intelligent Expert for Human Assessment
ACL 2025
Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning
ACL 2025
Advancing African-Accented English Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR Models
ACL 2025
Rethinking Full Finetuning from Pretraining Checkpoints in Active Learning for African Languages
ACL 2025
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