Yuji Roh

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 288 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Yuji Roh trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Ian J. Goodfellow
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Karen Simonyan
  7. L. Eon Bottou
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Yuji Roh overall

  1. Steven Euijong Whang
  2. Xin He
  3. Michael Gira
  4. Ruisu Zhang
  5. Tuan Dinh
  6. Kaiyong Zhao
  7. Kangwook Lee

Papers from Yuji Roh's perspective

Ordered by how strongly the researchers Yuji Roh 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers