Ruth Urner

Artificial Intelligence · 2011–2016

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Ruth Urner trusts overall

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

  1. Shai Ben-David
  2. Yann LeCun
  3. Jonathan Baxter
  4. Sebastian Thrun
  5. Stéphane Boucheron
  6. Yoshua Bengio
  7. L. Eon Bottou
  8. Vladimir Naumovich Vapnik
  9. Shai Shalev-Shwartz
  10. Daniel Kifer

Who trusts Ruth Urner overall

  1. Nicolas Courty
  2. Shai Ben-David
  3. Amaury Habrard
  4. Rémi Flamary
  5. Giulia Denevi
  6. Basura Fernando
  7. Liangchen Song
  8. Jesper E. van Engelen
  9. Mary Phuong
  10. Alain Rakotomamonjy

Papers from Ruth Urner's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers