Learning invariant representations in neural networks
<p>Symmetries and invariances are ubiquitous in machine learning tasks. While convolutional neural networks famously and successfully exploit translational symmetries, other symmetries have, until recently, often been neglected. Incorporating symmetries or invariances into the neural network a...
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Format: | Thesis |
Language: | English |
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2021
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