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thedarkside.frantzmiccoli.com
| | deepmind.google
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| | According to empirical evidence from prior works, utility degradation in DP-SGD becomes more severe on larger neural network models - including the ones regularly used to achieve the best...
| | stribny.name
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| | Fields in Artificial Intelligence and what libraries to use to address them.
| | teddykoker.com
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| | Gradient-descent-based optimizers have long been used as the optimization algorithm of choice for deep learning models. Over the years, various modifications to the basic mini-batch gradient descent have been proposed, such as adding momentum or Nesterovs Accelerated Gradient (Sutskever et al., 2013), as well as the popular Adam optimizer (Kingma & Ba, 2014). The paper Learning to Learn by Gradient Descent by Gradient Descent (Andrychowicz et al., 2016) demonstrates how the optimizer itself can be replac...
| | uwaterloo.ca
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| When it comes to cybersecurity, humans are often seen as the weakest link, but new research suggests that with a little help, people can do a surprisingly effective job at identifying malware. In a first-of-its-kind study, researchers from the University of Waterloo's Cheriton School of Computer Science teamed up with University of Guelph cybersecurity experts to test how