William R. Zame

Artificial Intelligence · 2001–2018

A researcher in the Science corpus: 11 papers; trusts 50 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom William R. Zame trusts overall

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

  1. Nan Jiang
  2. Lihong Li
  3. Adith Swaminathan
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. Ronald J. Williams
  7. Alex Graves
  8. J. Langford
  9. Thorsten Joachims
  10. Yoshua Bengio

Who trusts William R. Zame overall

  1. Mihaela van der Schaar
  2. Juan Miguel Lopez Alcaraz
  3. Xiaohong Chen
  4. Wenjie Du
  5. Ioana Bica
  6. Y. Tashiro
  7. Håvard Kvamme
  8. Ahmed M. Alaa
  9. Daniel John Zizzo
  10. Robb Willer

Papers from William R. Zame's perspective

Ordered by how strongly the researchers William R. Zame 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  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