Fei Yuan

Artificial Intelligence · with Fu · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Yuan trusts overall

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

  1. Ronald J. Williams
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Richard Socher
  5. Diederik P. Kingma
  6. Oriol Vinyals
  7. Jacob Devlin
  8. Dzmitry Bahdanau
  9. Alex Krizhevsky
  10. Ilya Sutskever

Who trusts Fei Yuan overall

  1. Jianping Gou

Papers from Fei Yuan's perspective

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

Their papers