Parameterized Structured Pruning for Deep Neural Networks

no code implementations • 12 Jun 2019 • Guenther Schindler, Wolfgang Roth, Franz Pernkopf, Holger Froening

As a result, PSP maintains prediction performance, creates a substantial amount of sparsity that is structured and, thus, easy and efficient to map to a variety of massively parallel processors, which are mandatory for utmost compute power and energy efficiency.

Quantization

Efficient and Robust Machine Learning for Real-World Systems

no code implementations • 5 Dec 2018 • Franz Pernkopf, Wolfgang Roth, Matthias Zoehrer, Lukas Pfeifenberger, Guenther Schindler, Holger Froening, Sebastian Tschiatschek, Robert Peharz, Matthew Mattina, Zoubin Ghahramani

In that way, we provide an extensive overview of the current state-of-the-art of robust and efficient machine learning for real-world systems.

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