Mi Zhang

Computer Vision and Pattern Recognition · with Mohr · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mi Zhang trusts overall

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

  1. Nathan Eagle
  2. Alex Pentland
  3. Rosalind W. Picard
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Alex Krizhevsky

Who trusts Mi Zhang overall

  1. Shen Yan

Papers from Mi Zhang's perspective

Ordered by how strongly the researchers Mi Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Deep Learning
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Representation Learning: A Review and New Perspectives

Their papers