Ruby B. Lee

Artificial Intelligence · 2004–2019

A researcher in the Science corpus: 11 papers; trusts 50 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Ruby B. Lee trusts overall

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

  1. Yann LeCun
  2. Vern Paxson
  3. Yoshua Bengio
  4. Congzheng Song
  5. Geoffrey E. Hinton
  6. G. Suh
  7. Alex Krizhevsky
  8. R. Rivest
  9. Reza Shokri
  10. Alfred J. Menezes

Who trusts Ruby B. Lee overall

  1. Gorka Irazoqui Apecechea
  2. Dmitry Evtyushkin
  3. Qian Ge
  4. Guoxing Chen
  5. Daniel Gruss
  6. Mohammadkazem Taram
  7. Vladimir Kiriansky
  8. Sanchuan Chen
  9. Yuval Yarom
  10. Jakub Szefer

Papers from Ruby B. Lee's perspective

Ordered by how strongly the researchers Ruby B. Lee trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers