Ann B. Lee

Statistics and Probability · 2003–2019

A researcher in the Science corpus: 9 papers; trusts 106 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Ann B. Lee trusts overall

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

  1. Trevor J. Hastie
  2. Daniel L. Ruderman
  3. Robert Tibshirani
  4. Rafael Izbicki
  5. Alexander G. Gray
  6. Stergios B. Fotopoulos
  7. Ronald R. Coifman
  8. Song-Chun Zhu
  9. MARK A. Beaumont
  10. Stéphane Mallat

Who trusts Ann B. Lee overall

  1. Wilson S. Geisler
  2. Nicolas Manfred Otto Heess
  3. Akansha Srivastava
  4. Gunnar E. Carlsson
  5. Taylor Pospisil
  6. Rafael Izbicki
  7. David I. Shuman
  8. Ying Nian Wu
  9. Stéphane Lafon
  10. Peng Zhang

Papers from Ann B. Lee's perspective

Ordered by how strongly the researchers Ann B. Lee 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers