Norman Mu

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 310 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Norman Mu trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Yann LeCun
  9. Karen Simonyan
  10. Andrew Zisserman

Who trusts Norman Mu overall

  1. Jingyi Zhang
  2. Yanghao Li
  3. Jieren Deng
  4. Mitchell Wortsman
  5. Dan Hendrycks
  6. Lijie Fan
  7. Renrui Zhang
  8. Evgenia Rusak
  9. Yuting Gao
  10. Xiao Wang

Papers from Norman Mu's perspective

Ordered by how strongly the researchers Norman Mu 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  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