Yuan Sun

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 144 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yuan Sun trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Christian Szegedy
  6. Yoshua Bengio
  7. Sergey Ioffe
  8. Ian J. Goodfellow
  9. Yann LeCun
  10. L. V. D. van der Maaten

Who trusts Yuan Sun overall

  1. Shiyu Chang
  2. Yang Zhao
  3. Jie Gui
  4. Zhangyang Wang

Papers from Yuan Sun's perspective

Ordered by how strongly the researchers Yuan Sun 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers