Learning with multimodal self-supervision
<p>Deep learning has fueled an explosion of applications, yet training deep neural networks usually requires expensive human annotations. In this thesis we explore alternatives to avoid the substantial reliance on manual annotated examples when training deep neural networks. Specifically, we d...
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| Format: | Thesis |
| Language: | English |
| Published: |
2021
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