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pro vyhledávání: '"David, Avichai Ben"'
When using recurrent neural networks (RNNs) it is common practice to apply trained models to sequences longer than those seen in training. This "extrapolating" usage deviates from the traditional statistical learning setup where guarantees are provid
Externí odkaz:
http://arxiv.org/abs/2202.04302
In many machine learning problems the output should not depend on the order of the input. Such "permutation invariant" functions have been studied extensively recently. Here we argue that temporal architectures such as RNNs are highly relevant for su
Externí odkaz:
http://arxiv.org/abs/2010.13055