Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human Representations
Decades of psychological research have been aimed at modeling how people learn features and categories. The empirical validation of these theories is often based on artificial stimuli with simple representations. Recently, deep neural networks have reached or surpassed human accuracy on tasks such a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley-Blackwell Publishing
2018
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |