Lin Tan

Information Systems · Symposium on Operating Systems Principles · 2005–2016

A researcher in the Science corpus: 8 papers; trusts 64 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Lin Tan trusts overall

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

  1. Thomas Zimmermann
  2. Dawson R. Engler
  3. Yoshua Bengio
  4. Jerome H. Friedman
  5. Zhenmin Li
  6. Geoffrey E. Hinton
  7. Ahmed E. Hassan
  8. Vladimir Naumovich Vapni
  9. Andreas Zeller
  10. Nick Littlestone

Who trusts Lin Tan overall

  1. Aniket Potdar
  2. Sheena Panthaplackel
  3. Rahul Pandita
  4. Michael Pradel
  5. Chakkrit Kla Tantithamthavorn
  6. Yi Li
  7. Thibaud Lutellier
  8. Xi Victoria Lin
  9. Rabee Sohail Malik
  10. Emad Shihab

Papers from Lin Tan's perspective

Ordered by how strongly the researchers Lin Tan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers