Non-parametric deep learning with applications in active learning
<p>We challenge a common assumption underlying most supervised <i>deep learning</i>: that a model makes a prediction depending only on its parameters and the features of a <i>single input</i>. To this end, we introduce a general-purpose deep learning architecture---<...
Glavni autor: | Band, N |
---|---|
Daljnji autori: | Kalaitzis, A |
Format: | Disertacija |
Jezik: | English |
Izdano: |
2022
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Teme: |
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