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Maxout Networks for Visual Recognition
Maxout Networks for Visual Recognition
PulseAugur coverage of Maxout Networks for Visual Recognition — every cluster mentioning Maxout Networks for Visual Recognition across labs, papers, and developer communities, ranked by signal.
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RECENT · PAGE 1/1 · 2 TOTAL
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Spiking Neural Networks Show Richer Input Space Partitions Than ReLU Networks
Researchers have explored the expressivity of spiking neural networks (SNNs), focusing on the time-to-first-spike (TTFS) model. They demonstrated that each neuron's firing time can be represented using a maxout-like str…
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New HyCNNs architecture offers improved convex function learning and optimal transport
Researchers have developed Hyper Input Convex Neural Networks (HyCNNs), a new architecture designed to learn convex functions more efficiently than existing Input Convex Neural Networks (ICNNs). HyCNNs integrate Maxout …