Feng Mai

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 5 papers; trusts 37 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Mai trusts overall

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

  1. Tim Loughran
  2. Diederik P. Kingma
  3. E. Henry
  4. Alex Edmans
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Yoon Kim
  8. Ilya Sutskever
  9. Tomas Mikolov
  10. Yann LeCun

Who trusts Feng Mai overall

  1. Oguzhan Gencoglu
  2. Camila C. Pereira

Papers from Feng Mai's perspective

Ordered by how strongly the researchers Feng Mai 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. 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers