Fei Gao

Artificial Intelligence · with Liu · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 65 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Gao trusts overall

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

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

Papers from Fei Gao's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  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. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet: A large-scale hierarchical image database

Their papers