Ting Yu

Computer Vision and Pattern Recognition · with Yu · 2019

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ting Yu trusts overall

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

  1. Karen Simonyan
  2. Geoffrey E. Hinton
  3. Sepp Hochreiter
  4. Alex Krizhevsky
  5. Mateusz Malinowski
  6. Yoshua Bengio
  7. Andrew Zisserman
  8. Kaiming He
  9. Diederik P. Kingma
  10. Yann LeCun

Papers from Ting Yu's perspective

Ordered by how strongly the researchers Ting Yu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers