An Overview of Binarized Neural Networks


Date
Apr 12, 2022 6:00 PM — 7:00 PM

Binarized neural networks (BNNs) are an extreme version of quantized neural networks where all weights and activations are quantized to +/- 1. A key motivation for such a network is to enable one to run powerful neural networks on small battery-powered devices. This talk introduced BNNs, explained how one can train such a network and reviewed some recent work in the area.

Supplemental Resources

  1. Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1, by Courbariaux et al.
  2. A review of Binarized Neural Networks, by Simons et al.
  3. An Empirical Study of Binarized Neural Networks' Optimization, by Alizadeh et al.

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