NIPS Proceedingsβ

Daniel Soudry

7 Papers

  • Implicit Bias of Gradient Descent on Linear Convolutional Networks (2018)
  • Norm matters: efficient and accurate normalization schemes in deep networks (2018)
  • Scalable methods for 8-bit training of neural networks (2018)
  • Train longer, generalize better: closing the generalization gap in large batch training of neural networks (2017)
  • Binarized Neural Networks (2016)
  • Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights (2014)
  • Neuronal Spike Generation Mechanism as an Oversampling, Noise-shaping A-to-D converter (2012)