Michael Zhu

Computer Vision and Pattern Recognition · with Gupta · 2017

A researcher in the Science corpus: 1 paper; trusts 110 researchers and is trusted by 85 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Zhu trusts overall

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

  1. Song Han
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Wojciech Zaremba
  5. Christian Szegedy
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Vincent Vanhoucke
  10. Vadim Lebedev

Who trusts Michael Zhu overall

  1. Dan Alistarh
  2. Elias Frantar
  3. Sara Hooker
  4. Sidak Pal Singh
  5. Trevor Gale
  6. Gaurav Menghani
  7. Erich Elsen
  8. Steven C. Y. Hung
  9. Tim Dettmers
  10. Lin Wang

Papers from Michael Zhu's perspective

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

Their papers