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after reading the paper, i think SRR is an extension of SSC in event data, can anyone explain that?
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what is the main diference between SSC(Submanifold sparse convolutional networks) and SSR(Sparse Recursive Representations)?
what is the main diference between SSC(Submanifold sparse convolutional networks) and SRR(Sparse Recursive Representations)?
Sep 3, 2020
That is correct. The difference between SSC and asynet is the possibility to propagate single events through the network. Due to the rule book formulation and the network state propagation through time, asynet reduces the number of FLOPS required to process single events or small batches of events. In comparison, SCC compute the activations of active sites even if the input did not change. This is not the case for asynet due to the network state propagation through time.
after reading the paper, i think SRR is an extension of SSC in event data, can anyone explain that?
The text was updated successfully, but these errors were encountered: