Yu Lin

Artificial Intelligence · with Wang · 2002–2021

A researcher in the Science corpus: 10 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Lin trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Kaiming He
  4. Jimmy Ba
  5. Diederik P. Kingma
  6. Ross B. Girshick
  7. Yoshua Bengio
  8. Yann LeCun
  9. Zhizhong Li
  10. Ilya Sutskever

Who trusts Yu Lin overall

  1. Aiping Wang

Papers from Yu Lin's perspective

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

Their papers