Improving Accuracy and Calibration of Deep Image Classifiers With Agreement-Driven Dynamic Ensemble
One of the biggest challenges when considering the applicability of Deep Learning systems to real-world problems is the possibility of failure in <italic>critical</italic> situations. Possible strategies to tackle this problem are two-fold: (i) models need to be highly accurate, conseque...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Open Journal of the Computer Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10806808/ |
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