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    • 5th SmartData@PoliTO Workshop (Internal Only) – Checking where we are
    • Thanks for the success of the 4th SmartData@PoliTO Workshop!
    • 4th Open SmartData@PoliTO Workshop
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    • A new approach to machine learning via group equivariant non-expansive operators and topological data analysis
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    • Alta Scuola Politecnica: Winter School 2019
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Home » Publications » Weak-MAC: Arithmetic Relaxation for Dynamic Energy-Accuracy Scaling in ConvNets

Weak-MAC: Arithmetic Relaxation for Dynamic Energy-Accuracy Scaling in ConvNets

Andrea Calimera (2018) Weak-MAC: Arithmetic Relaxation for Dynamic Energy-Accuracy Scaling in ConvNets, In: 2018 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5, ISBN: 978-1-5386-4881-0

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