Bo Cowgill

Economics and Econometrics · 2015–2020

A researcher in the Science corpus: 4 papers; trusts 29 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Bo Cowgill trusts overall

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

  1. Berkeley J. Dietvorst
  2. David Arnold
  3. Joseph P. Simmons
  4. Will Dobbie
  5. Amit Datta
  6. Matt J. Kusner
  7. Michael Feldman
  8. Alekh Agarwal
  9. Cade Massey
  10. M. Stevenson

Who trusts Bo Cowgill overall

  1. Ben Green
  2. Momin M. Malik
  3. Abigail Z. Jacobs
  4. Yiling Chen

Papers from Bo Cowgill's perspective

Ordered by how strongly the researchers Bo Cowgill 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. Certifying and Removing Disparate Impact
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Equality of Opportunity in Supervised Learning
  8. Long Short-Term Memory
  9. Et al
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers