Young-joo Chung

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Young-joo Chung trusts overall

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

  1. Steven Bird
  2. Diederik P. Kingma
  3. Christopher D. Manning
  4. Pierre Lison
  5. Rico Sennrich
  6. Thang Luong
  7. Jimmy Ba
  8. Denny Britz

Who trusts Young-joo Chung overall

  1. Changhan Wang
  2. Wenda Xu

Papers from Young-joo Chung's perspective

Ordered by how strongly the researchers Young-joo Chung trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Long Short-Term Memory
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Bleu: a Method for Automatic Evaluation of Machine Translation
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Neural Machine Translation of Rare Words with Subword Units

Their papers