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It is well known that vision classification models suffer from poor calibration in the face of data distribution shifts. In this paper, we take a geometric approach to this problem. We propose Geometric Sensitivity Decomposition (GSD) which decompose
Externí odkaz:
http://arxiv.org/abs/2110.14577
There are currently many barriers that prevent non-experts from exploiting machine learning solutions ranging from the lack of intuition on statistical learning techniques to the trickiness of hyperparameter tuning. Such barriers have led to an explo
Externí odkaz:
http://arxiv.org/abs/2012.05390
Autor:
Yung, Dylan
Publikováno v:
Australasian Dental Practice; May/Jun2011, Vol. 22 Issue 3, p146-152, 5p, 38 Color Photographs
