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cs.LG2024
Adjusting Pretrained Backbones for Performativity
Berker Demirel, Lingjing Kong, Kun Zhang +3
With the widespread deployment of deep learning models, they influence their environment in various ways. The induced distribution shifts can lead to unexpected performance degrada…
cs.LG2024
Out-of-Distribution Detection with Relative Angles
Berker Demirel, Marco Fumero, Francesco Locatello
Deep learning systems deployed in real-world applications often encounter data that is different from their in-distribution (ID). A reliable model should ideally abstain from makin…