Research map / Label-efficient and robust learning / Recognition and long-tail
Revisiting Unknowns: Towards Effective and Efficient Open-Set Active Learning
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach (CVPR 2025 · similarity 0.90)
- Entropic Open-Set Active Learning (AAAI 2024 · similarity 0.88)
- Inconsistency-Based Data-Centric Active Open-Set Annotation (AAAI 2024 · similarity 0.88)
- Joint Out-of-Distribution Filtering and Data Discovery Active Learning (CVPR 2025 · similarity 0.86)
- Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning (AAAI 2024 · similarity 0.86)
- All Beings Are Equal in Open Set Recognition (AAAI 2024 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.