Marshall Burke

Economics and Econometrics · 2005–2022

A researcher in the Science corpus: 21 papers; trusts 312 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Marshall Burke trusts overall

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

  1. W. Schlenker
  2. Solomon Hsiang
  3. Edward Miguel
  4. David B. Lobell
  5. O. Deschenes
  6. Melissa Dell
  7. Kaiming He
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. Thomas W. Hertel

Who trusts Marshall Burke overall

  1. Matthias Kalkuhl
  2. Richard S. J. Tol
  3. Solomon Hsiang
  4. Mariaflavia Harari
  5. Nora Pankratz
  6. J. Buzan
  7. David B. Lobell
  8. N. Kim
  9. Delavane Diaz
  10. L. Wenz

Papers from Marshall Burke's perspective

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

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

Their papers