Fan Mo

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fan Mo trusts overall

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

  1. Alex Krizhevsky
  2. Yoshua Bengio
  3. Kaiming He
  4. Hugo Krawczyk
  5. Geoffrey E. Hinton
  6. Yann LeCun
  7. Karen Simonyan
  8. Reza Shokri
  9. Christian Szegedy
  10. Diederik P. Kingma

Who trusts Fan Mo overall

  1. Fatemehsadat Mirshghallah
  2. John Nguyen

Papers from Fan Mo's perspective

Ordered by how strongly the researchers Fan Mo 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers