David Lie

Artificial Intelligence · 2000–2019

A researcher in the Science corpus: 6 papers; trusts 17 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom David Lie trusts overall

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

  1. Robert Epstein
  2. Martín Abadi
  3. Cynthia Dwork
  4. Frank McSherry
  5. Ronald E. Robertson
  6. Hugo Krawczyk
  7. Frank Thomson Leighton
  8. Alex Krizhevsky
  9. Mihir Bellare
  10. O. Ohrimenko

Who trusts David Lie overall

  1. G. Suh
  2. Srini Devadas
  3. Victor Costan
  4. Cullen Linn
  5. Ruby B. Lee
  6. Badih Ghazi
  7. Florian Tramèr
  8. Pramod Subramanyan
  9. Chenyu Yan
  10. Felix Schuster

Papers from David Lie's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Learning Multiple Layers of Features from Tiny Images
  4. ImageNet: A large-scale hierarchical image database
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Calibrating Noise to Sensitivity in Private Data Analysis
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Reading Digits in Natural Images with Unsupervised Feature Learning
  9. Deep Learning
  10. Long Short-Term Memory

Their papers