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12/22/2022
GOOD: Exploring Geometric Cues for Detecting Objects in an Open World
We address the task of open-world class-agnostic object detection, i.e.,...
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12/01/2021
Decomposing Representations for Deterministic Uncertainty Estimation
Uncertainty estimation is a key component in any deployed machine learni...
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06/04/2021
Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective
ResNets constrained to be bi-Lipschitz, that is, approximately distance ...
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11/30/2020
Feature Space Singularity for Out-of-Distribution Detection
Out-of-Distribution (OoD) detection is important for building safe artif...
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05/19/2018
