Sung Whan Yoon

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 105 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Sung Whan Yoon trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Oriol Vinyals
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Chelsea Finn
  8. Yann LeCun
  9. Jimmy Ba
  10. Ilya Sutskever

Who trusts Sung Whan Yoon overall

  1. Steinar Laenen
  2. Do-Yeon Kim
  3. Afra Feyza Akyürek
  4. Sha Li
  5. Christian Simon
  6. S. Divakar Bhat
  7. Zhen Tan
  8. Haoxuan Qu
  9. Yutai Hou
  10. Song Tian

Papers from Sung Whan Yoon's perspective

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

Their papers