Huichao Gong

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Huichao Gong trusts overall

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

  1. N. Grigorieff
  2. Geoffrey E. Hinton
  3. L. Eon Bottou
  4. Alex Krizhevsky
  5. Sjors H. W. Scheres
  6. Ilya Sutskever
  7. Yann LeCun
  8. Vinod Nair
  9. Yoshua Bengio
  10. A. Rohou

Papers from Huichao Gong's perspective

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

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

Their papers