Jonathan Ragan-Kelley

Computer Vision and Pattern Recognition · 2013–2020

A researcher in the Science corpus: 7 papers; trusts 63 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Ragan-Kelley trusts overall

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

  1. William Thies
  2. Diederik P. Kingma
  3. Yuan Tang
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Michal Karczmarek
  7. Ian Buck
  8. Yoshua Bengio
  9. Yann LeCun
  10. Aaron Hertzmann

Who trusts Jonathan Ragan-Kelley overall

  1. Xinyun Chen
  2. Tianqi Chen
  3. Nicolas Vasilache
  4. Shoumik Palkar
  5. Yuandong Tian
  6. Minjie Wang
  7. Philippe Tillet
  8. Kexin Pei
  9. Thierry Moreau
  10. Tri Dao

Papers from Jonathan Ragan-Kelley's perspective

Ordered by how strongly the researchers Jonathan Ragan-Kelley trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers