Kehai Chen

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 5 papers; trusts 221 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kehai Chen trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Kaiming He
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Yann LeCun
  9. Kyunghyun Cho
  10. Alex Graves

Who trusts Kehai Chen overall

  1. Zhuosheng Zhang

Papers from Kehai Chen's perspective

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

Their papers