James R. Wright

Management Science and Operations Research · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom James R. Wright trusts overall

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

  1. Colin F. Camerer
  2. Radford M. Neal
  3. Richard D. McKelvey
  4. Robert Leonard
  5. Jeff Gill
  6. Miguel A. Costa-Gomes
  7. Vincent P. Crawford
  8. Kevin P. Murphy
  9. John A. Nelder
  10. Reinhard Selten

Who trusts James R. Wright overall

  1. Hengyuan Hu
  2. Jason S. Hartford
  3. Marc Lanctot

Papers from James R. Wright's perspective

Ordered by how strongly the researchers James R. Wright 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers