Ørnulf Borgan

Artificial Intelligence · 2007–2019

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ørnulf Borgan trusts overall

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

  1. Leslie N. Smith
  2. Jun Yan
  3. Ilya Loshchilov
  4. Cheng Guo
  5. Hemant Ishwaran
  6. Changhee Lee
  7. Jared Katzman

Papers from Ørnulf Borgan's perspective

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

  1. Automatic differentiation in PyTorch
  2. ImageNet classification with deep convolutional neural networks
  3. On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Decoupled Weight Decay Regularization
  6. Gradient-based learning applied to document recognition
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Random survival forests
  9. Train longer, generalize better: closing the generalization gap in large batch training of neural networks
  10. Going deeper with convolutions

Their papers