Michael Zhang

Artificial Intelligence · Cell · 2005–2020

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Michael Zhang trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. H. Brendan McMahan
  4. Geoffrey E. Hinton
  5. Filip Hanzely
  6. Yoshua Bengio
  7. L. Eon Bottou
  8. Virginia Smith
  9. Yuyang Deng
  10. Alireza Fallah

Who trusts Michael Zhang overall

  1. Tian Li
  2. Aviv Shamsian
  3. Othmane Marfoq
  4. Jianqing Zhang
  5. Zhili Sun
  6. Shengyuan Hu
  7. Aviv Navon

Papers from Michael Zhang's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers