Andrew M. Michael

Computer Vision and Pattern Recognition · 2010–2021

A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Andrew M. Michael trusts overall

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

  1. Diederik P. Kingma
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yoshua Bengio
  7. Karen Simonyan
  8. Sergey Ioffe

Who trusts Andrew M. Michael overall

  1. Vince D. Calhoun

Papers from Andrew M. Michael's perspective

Ordered by how strongly the researchers Andrew M. Michael 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Going deeper with convolutions
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers