Tanya Nair

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tanya Nair trusts overall

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

  1. Yarin Gal
  2. Alex Kendall
  3. Stephen M. Smith
  4. Zoubin Ghahramani
  5. John G. Sled
  6. Christian Leibig
  7. Geoffrey E. Hinton
  8. Vijay Badrinarayanan
  9. Yann LeCun
  10. Alex Krizhevsky

Who trusts Tanya Nair overall

  1. Nicolas Brosse
  2. Tharindu Fernando
  3. Mauricio Reyes
  4. David Hall
  5. Moloud Abdar
  6. Jakob Gawlikowski

Papers from Tanya Nair's perspective

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

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

Their papers