Sangchul Hahn

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 67 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Sangchul Hahn trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Tomas Mikolov
  4. Ilya Sutskever
  5. Quoc V. Le
  6. Oriol Vinyals
  7. Dzmitry Bahdanau
  8. Alex Krizhevsky
  9. Richard Socher
  10. Kaiming He

Who trusts Sangchul Hahn overall

  1. Jianping Gou
  2. Liangchen Luo
  3. Xiaobo Liang
  4. Baosheng Yu
  5. Mark Sandler
  6. Lijun Wu
  7. S. Maybank

Papers from Sangchul Hahn's perspective

Ordered by how strongly the researchers Sangchul Hahn 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers