Ting-En Lin

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ting-En Lin trusts overall

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

  1. Geoffrey E. Hinton
  2. L. V. D. van der Maaten
  3. Weiyang Liu
  4. Geli Fei
  5. Jeffrey Pennington
  6. Gökhan Tür
  7. B. Liu
  8. Lei Shu
  9. Rajeev Ranjan
  10. Feng Wang

Who trusts Ting-En Lin overall

  1. Guangfeng Yan
  2. Lu Fan

Papers from Ting-En Lin's perspective

Ordered by how strongly the researchers Ting-En Lin 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  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. Going deeper with convolutions

Their papers