GSAL combines diffusion-based visual difficulty scoring with hierarchical semantic coverage to improve active learning retrieval of subtle and rare visual anomalies over standard uncertainty and diversity methods.
Can you trust your model’s uncertainty? evaluating predictive uncertainty under dataset shift.Advances in neural information processing systems, 32
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Hard to See, Hard to Label: Generative and Symbolic Acquisition for Subtle Visual Phenomena
GSAL combines diffusion-based visual difficulty scoring with hierarchical semantic coverage to improve active learning retrieval of subtle and rare visual anomalies over standard uncertainty and diversity methods.