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01/19/2022
Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions
There exists a distribution discrepancy between training and testing, in...
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02/15/2021
Self-Supervised Features Improve Open-World Learning
This is a position paper that addresses the problem of Open-World learni...
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11/25/2020
Open-World Learning Without Labels
Open-world learning is a problem where an autonomous agent detects thing...
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11/11/2020
Automatic Open-World Reliability Assessment
Image classification in the open-world must handle out-of-distribution (...
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11/09/2018
Reducing Network Agnostophobia
Agnostophobia, the fear of the unknown, can be experienced by deep learn...
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08/08/2017