Yunming Ye

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Yunming Ye trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Kaiming He
  4. Ilya Sutskever
  5. Christopher K. I. Williams
  6. Karen Simonyan
  7. Yoshua Bengio
  8. Steffen Rendle
  9. Yann LeCun
  10. Christian Szegedy

Who trusts Yunming Ye overall

  1. Chuhan Wu
  2. Fangzhao Wu
  3. Le Wu
  4. Fajie Yuan
  5. Bin Liu

Papers from Yunming Ye's perspective

Ordered by how strongly the researchers Yunming Ye 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. Long Short-Term Memory
  5. Going deeper with convolutions
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers