Published August 25, 2019 | Version v1
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NPAQ Benchmarks

Authors/Creators

  • 1. National University of Singapore
  • 2. UC Berkeley

Description

This upload contains the models and formulas used to evaluate the quantitative reasoning tool for binarized neural networks called NPAQ (see paper here https://arxiv.org/abs/1906.10395)

Please visit teobaluta.github.io/npaq for upcoming information and tool release.

Files

Files (9.3 GB)

Name Size
md5:ba52338d56903d9e1c68c447f032e008
266 Bytes Download
md5:44b2fb2fe6bb4ecf20690707d50f91f8
6.9 MB Download
md5:2341efd8eb2d6ad5acf0f3a54529a4bd
4.1 MB Download
md5:20f7f638edd0ab415ed43549c51c30a3
9.2 GB Download