Kai-Xin Gao

Optimization & Training · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kai-Xin Gao trusts overall

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

  1. James Martens
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Yann LeCun
  5. Karen Simonyan
  6. Kaiming He
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Jimmy Ba
  10. L. Eon Bottou

Who trusts Kai-Xin Gao overall

  1. Hyounguk Shon

Papers from Kai-Xin Gao's perspective

Ordered by how strongly the researchers Kai-Xin Gao trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers