A minimalist approach to deep multi-task learning
<p>Multi-task learning is critical for real-life applications of machine learning. Modern approaches are characterised by algorithmic complexity, often unjustified, leading to impractical solutions. In contrast, this thesis demonstrates that a minimalistic alternative is possible, showing the...
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| Format: | Thesis |
| Language: | English |
| Published: |
2022
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