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---<...
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| Format: | Thesis |
| Idioma: | English |
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2022
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