Feature-dependent Cross-Connections in Multi-Path Neural Networks

24 Jun 2020Dumindu TisseraKasun VithanageRukshan WijesingheKumara KahatapitiyaSubha FernandoRanga Rodrigo

Learning a particular task from a dataset, samples in which originate from diverse contexts, is challenging, and usually addressed by deepening or widening standard neural networks. As opposed to conventional network widening, multi-path architectures restrict the quadratic increment of complexity to a linear scale... (read more)

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