Chen-Yu Lee

Artificial Intelligence · with Soo · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Chen-Yu Lee trusts overall

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

  1. Tomas Mikolov
  2. Jeff Donahue
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Karen Simonyan
  6. Geoffrey E. Hinton
  7. Yann LeCun
  8. Ilya Sutskever
  9. J. Urgen Schmidhuber
  10. Kai Chen

Who trusts Chen-Yu Lee overall

  1. Weiwei Jiang
  2. A. Ozbayoglu
  3. Omer Berat Sezer
  4. M. Ugur Gudelek

Papers from Chen-Yu Lee's perspective

Ordered by how strongly the researchers Chen-Yu 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers