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Recent progress in self-supervision shows that pre-training large neural networks on vast amounts of unsupervised data can lead to impressive increases in generalisation for downstream tasks.
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Using self-supervised learning can improve model robustness and uncertainty
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The case for open-access ML-ready geospatial training data
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