N. Mayer-Hamblett

Statistics and Probability · 2003–2019

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom N. Mayer-Hamblett trusts overall

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

  1. Jorge Nocedal
  2. Trevor J. Hastie
  3. Robert Tibshirani
  4. Susan A. Murphy
  5. Vladimir Naumovich Vapnik
  6. Yufan Zhao
  7. Alain Rakotomamonjy
  8. Ingo Steinwart
  9. Hui Zou
  10. Peter L. Bartlett

Who trusts N. Mayer-Hamblett overall

  1. Susan Athey
  2. Stefan Wager
  3. Xinkun Nie
  4. Zhengyuan Zhou
  5. Yichi Zhang

Papers from N. Mayer-Hamblett's perspective

Ordered by how strongly the researchers N. Mayer-Hamblett trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Regression Shrinkage and Selection via the Lasso
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers