Uncertainty decomposition via deep ensembles separates annotator disagreement from distribution shift in FER, enabling a routing mechanism that retains 1.8x more ambiguous faces at matched OOD rejection compared to single-uncertainty baselines.
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Translation models and quality-aware scoring improve expert finding on StackOverflow by bridging term gaps between recruiters and users, yielding up to 46% MAP gain over prior methods.
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Interpretable Uncertainty Routing Separating Emotion Ambiguity from Distribution Shift in Facial Expression Recognition
Uncertainty decomposition via deep ensembles separates annotator disagreement from distribution shift in FER, enabling a routing mechanism that retains 1.8x more ambiguous faces at matched OOD rejection compared to single-uncertainty baselines.