Teng-Yok Lee

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Teng-Yok Lee trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Dzmitry Bahdanau
  4. Yoshua Bengio
  5. Matthew D. Zeiler
  6. Karen Simonyan
  7. Ilya Sutskever
  8. Sepp Hochreiter
  9. Oriol Vinyals
  10. Kyunghyun Cho

Papers from Teng-Yok Lee's perspective

Ordered by how strongly the researchers Teng-Yok 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers