AI RESEARCH
Geometrically Constrained Outlier Synthesis
arXiv CS.LG
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ArXi:2603.08413v1 Announce Type: new Deep neural networks for image classification often exhibit overconfidence on out-of-distribution (OOD) samples. To address this, we