Dong Ho Cho

Electrical and Electronic Engineering · 2013–2019

A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Dong Ho Cho trusts overall

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

  1. Diederik P. Kingma
  2. Qingjiang Shi
  3. Jimmy Ba
  4. Karen Simonyan
  5. Haoran Sun
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. Andrew Zisserman
  9. Meisam Razaviyayn
  10. Tim O'Shea

Who trusts Dong Ho Cho overall

  1. Hoon Lee
  2. Sang Hyun Lee
  3. Tony Q. S. Quek

Papers from Dong Ho Cho's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers