We show that a model owner can artificially introduce uncertainty into their model and provide a corresponding detection mechanism.
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Updated
Jun 2, 2025 - Jupyter Notebook
We show that a model owner can artificially introduce uncertainty into their model and provide a corresponding detection mechanism.
Investigation of how sampling strategies affect Selective Prediction performance in Multi Task Learning
BoundaryBench: Benchmark + tool-augmented method for boundary containment under GPS noise
Code for our paper analyzing the looseness of the upper bound on selective classification performance.
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