Fei Mi

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 11 papers; trusts 342 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Mi trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Max Welling
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Kaiming He
  7. Ilya Sutskever
  8. Yann LeCun
  9. Oriol Vinyals
  10. Alex Graves

Who trusts Fei Mi overall

  1. Ondrej Dusek
  2. Thomas Scialom
  3. Zheda Mai
  4. Yanzhe Zhang
  5. Elahe Arani
  6. Zhuang Li
  7. Qi Zhu
  8. Lilly Kumari
  9. Minlie Huang
  10. Prakhar Gupta

Papers from Fei Mi's perspective

Ordered by how strongly the researchers Fei Mi 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers