Woon Sang Cho

Natural Language Processing · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Woon Sang Cho trusts overall

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

  1. Diederik P. Kingma
  2. Ronald J. Williams
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Richard S. Sutton
  6. Dzmitry Bahdanau
  7. Ilya Sutskever
  8. Alex Graves
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts Woon Sang Cho overall

  1. Denis Emelin
  2. Daniel M. Ziegler
  3. Jeff Wu
  4. Nisan Stiennon

Papers from Woon Sang Cho's perspective

Ordered by how strongly the researchers Woon Sang Cho 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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