Sunghee Jung

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Sunghee Jung trusts overall

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

  1. Jaehyeon Kim
  2. Adrian La'ncucki
  3. Jungil Kong
  4. Diederik P. Kingma
  5. Jeff Donahue
  6. Ron J. Weiss
  7. Ryuichi Yamamoto
  8. Ashish Vaswani
  9. Geoffrey E. Hinton
  10. Kevin J. Shih

Who trusts Sunghee Jung overall

  1. Cong Han

Papers from Sunghee Jung's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet classification with deep convolutional neural networks
  5. WaveNet: A Generative Model for Raw Audio
  6. Long Short-Term Memory
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. GENERATIVE ADVERSARIAL NETS
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers