On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups — mentioned by PAClearner

Sat, 18 Aug 2018 20:51:35 GMT

I could rant about this for hours. I actually just went to a defense for a deep learning paper that had a ton of abstract algebra. I am honestly not really a fan of deep learning and algebra because all the papers to me like- seem to stop at describing some really basic feedforward network as some really specific mathematical structure but these theories a) provide very little explanation of empirical phenomena b) provide no new directions of research in terms of like useful network architectures. I haven't really come across algebra in machine learning other than people applying it to deep…

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On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups · HackerPapers discussions

On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups — mentioned by PAClearner