Fei Tian

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 15 papers; trusts 691 researchers and is trusted by 68 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Tian trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Kaiming He
  7. Ronald J. Williams
  8. L. Eon Bottou
  9. Yann LeCun
  10. J. Urgen Schmidhuber

Who trusts Fei Tian overall

  1. Lijun Wu
  2. Shaosheng Cao
  3. Yingce Xia
  4. Saket Navlakha
  5. Vincent Wenchen Zheng
  6. Xu Tan
  7. Renqian Luo
  8. Shirui Pan
  9. Hongyun Cai
  10. Jiahui Yu

Papers from Fei Tian's perspective

Ordered by how strongly the researchers Fei Tian 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers