Kai Hong

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 52 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Hong trusts overall

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

  1. Ryan T. McDonald
  2. Chin-Yew Lin
  3. Ani Nenkova
  4. Lucy Vanderwende
  5. Günes Erkan
  6. Rada Mihalcea
  7. Aria Haghighi
  8. Alex Kulesza
  9. Hui-Ching Lin
  10. Xiaojun Wan

Who trusts Kai Hong overall

  1. Romain Paulus
  2. Caiming Xiong
  3. Richard Socher

Papers from Kai Hong's perspective

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

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet classification with deep convolutional neural networks
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers