Kyle W. Willett

Astronomy and Astrophysics · 2013–2015

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Kyle W. Willett trusts overall

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

  1. Yoshua Bengio
  2. Chris J. Lintott
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Kevin Schawinski
  6. Yann LeCun
  7. Steven Bamford
  8. Alex Krizhevsky
  9. Radford M. Neal
  10. Ruslan Salakhutdinov

Who trusts Kyle W. Willett overall

  1. Sander Dieleman
  2. Taco Cohen
  3. Aharon Azulay
  4. Edward J. Kim
  5. Damien Teney
  6. Luke Taylor
  7. Luke Taylor
  8. C. Dobbs
  9. Diego Marcos
  10. Carlos Esteves

Papers from Kyle W. Willett's perspective

Ordered by how strongly the researchers Kyle W. Willett 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. Gradient-based learning applied to document recognition
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers