George Lee

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom George Lee trusts overall

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

  1. David Ruppert
  2. Sam T. Roweis
  3. Mikhail Belkin
  4. Ron Kohavi
  5. Haibo Wang
  6. Korsuk Sirinukunwattana
  7. Hanchuan Peng
  8. R. Somorjai
  9. Josh Tenenbaum
  10. Isabelle M Guyon

Who trusts George Lee overall

  1. Andrew Janowczyk
  2. Yahui Jiang
  3. MD Andrew A. Borkowski
  4. Bruno Korbar

Papers from George Lee's perspective

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

  1. Dropout: a simple way to prevent neural networks from overfitting
  2. This PDF file includes: Materials and Methods
  3. ImageNet classification with deep convolutional neural networks
  4. Nonlinear dimensionality reduction by locally linear embedding.
  5. Gradient-based learning applied to document recognition
  6. A global geometric framework for nonlinear dimensionality reduction.
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Wrappers for Feature Subset Selection
  10. The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Their papers