Houxiang Zhang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Houxiang Zhang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yoshua Bengio
  4. Xavier Glorot
  5. Diederik P. Kingma
  6. Kaiming He
  7. Ilya Sutskever

Papers from Houxiang Zhang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. A Fast Learning Algorithm for Deep Belief Nets
  7. Gradient-based learning applied to document recognition
  8. Rectified Linear Units Improve Restricted Boltzmann Machines
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers