Mark Z. Mao

Artificial Intelligence · 2011–2014

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 95 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Z. Mao trusts overall

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

  1. Geoffrey E. Hinton
  2. Navdeep Jaitly
  3. L. Eon Bottou
  4. Yann LeCun
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Volodymyr Mnih
  8. Alex Graves
  9. Brian Kingsbury
  10. Ilya Sutskever

Who trusts Mark Z. Mao overall

  1. Tara N. Sainath
  2. Yoshua Bengio
  3. Li Deng
  4. Jinyu Li
  5. Quoc V. Le
  6. Yu Cheng
  7. Yunhe Wang
  8. Heiga Zen
  9. Rohit Prabhavalkar
  10. Tim Dettmers

Papers from Mark Z. Mao's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Learning Multiple Layers of Features from Tiny Images
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Rectified Linear Units Improve Restricted Boltzmann Machines
  10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers