Kihong Heo

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Kihong Heo trusts overall

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

  1. Sumit Gulwani
  2. Miltiadis Allamanis
  3. Sinno Jialin Pan
  4. Veselin Raychev
  5. Pavol Bielik
  6. Yoshua Bengio
  7. Premkumar T. Devanbu
  8. Yann LeCun
  9. Susmit Jha
  10. Charles Sutton

Who trusts Kihong Heo overall

  1. Augustus Odena

Papers from Kihong Heo's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers