Kai Sun

Natural Language Processing · with Yu · 2018–2020

A researcher in the Science corpus: 6 papers; trusts 284 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Sun trusts overall

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

  1. Alec Radford
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Kaiming He
  8. Yann LeCun
  9. Jacob Devlin
  10. Ruslan Salakhutdinov

Who trusts Kai Sun overall

  1. Momchil Hardalov
  2. Peter Clark
  3. Tushar Khot
  4. Chen Zhu
  5. Xiaoman Pan
  6. Oyvind Tafjord
  7. Alon Talmor
  8. Dian Yu
  9. Ivan Koychev
  10. Harsh Trivedi

Papers from Kai Sun's perspective

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

Their papers