Structured and tiled-based pruning of Deep Learning models targeting FPGA implementations

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Given a sequence of functions

f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

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We study the problems of testing and learning high-dimensional discrete convex sets. The simplest high-dimensional discrete domain where convexity is a non-Trivial property is the ternary hypercube, {-1, 0, 1}n. The goal of this work is to understand struc ...

Structured and tiled-based pruning of Deep Learning models targeting FPGA implementations

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