James R. Lee

Computational Theory and Mathematics · 2004–2014

A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom James R. Lee trusts overall

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

  1. Jon M. Kleinberg
  2. Jirí Matousek
  3. Jianbo Shi
  4. Daniel A. Spielman
  5. Andrew Y. Ng
  6. J. Heinonen
  7. Misha Gromov
  8. Laurent Miclo
  9. David R Karger
  10. Jitendra Malik

Who trusts James R. Lee overall

  1. Assaf Naor
  2. Y. Brudnyi
  3. G. Lancien
  4. Samory Kpotufe
  5. Kenneth L. Clarkson
  6. Ke Li
  7. Michael E. Houle
  8. Novi Quadrianto
  9. Alexander Brudnyi
  10. Lior Silberman

Papers from James R. Lee's perspective

Ordered by how strongly the researchers James R. 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Going deeper with convolutions
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers