Ian Covert

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 4 papers; trusts 279 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ian Covert trusts overall

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

  1. Karen Simonyan
  2. Scott M. Lundberg
  3. Diederik P. Kingma
  4. Lloyd S. Shapley
  5. Geoffrey E. Hinton
  6. Erik Strumbelj
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Yann LeCun
  10. Andrew Zisserman

Who trusts Ian Covert overall

  1. Hugh Chen
  2. Scott M. Lundberg
  3. Gherman Novakovsky
  4. Su-In Lee
  5. Maximilian Pichler
  6. Sarah Pratt
  7. Nick C. Dexter
  8. Juan Miguel Lopez Alcaraz

Papers from Ian Covert's perspective

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

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

Their papers