Erwin Laure

IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · 2006–2018

A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Erwin Laure trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ian T Foster
  2. J. Frey

Papers from Erwin Laure's perspective

Ordered by how strongly the researchers Erwin Laure trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. TensorFlow: A system for large-scale machine learning
  3. cuDNN: Efficient Primitives for Deep Learning
  4. In-datacenter performance analysis of a tensor processing unit
  5. Deep Learning with Limited Numerical Precision
  6. Deep Learning
  7. Gradient-based learning applied to document recognition
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Mixed Precision Training
  10. The Anatomy of the Grid

Their papers