Quantifying learnability and describability of visual concepts emerging in representation learning
The increasing impact of black box models, and particularly of unsupervised ones, comes with an increasing interest in tools to understand and interpret them. In this paper, we consider in particular how to characterise visual groupings discovered automatically by deep neural networks, starting with...
| Main Authors: | , , |
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| פורמט: | Conference item |
| שפה: | English |
| יצא לאור: |
NeurIPS
2020
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