Dong-Yeon Cho

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dong-Yeon Cho trusts overall

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

  1. Herbert Jaeger
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Ian J. Goodfellow
  6. Diederik P. Kingma
  7. Chelsea Finn
  8. David Lopez-Paz
  9. Yann LeCun
  10. Marc'Aurelio Ranzato

Who trusts Dong-Yeon Cho overall

  1. Antreas Antoniou
  2. Mehrdad Farajtabar
  3. Xu Ji

Papers from Dong-Yeon Cho's perspective

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

Their papers