Kai Xu

Artificial Intelligence · with Ge · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 71 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Xu trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yee Whye Teh
  4. Radford M. Neal
  5. L. V. D. van der Maaten
  6. David M. Blei
  7. Ronald J. Williams
  8. Zoubin Ghahramani
  9. Yoshua Bengio
  10. Alex Krizhevsky

Who trusts Kai Xu overall

  1. Amina Adadi
  2. D. V. Carvalho
  3. Davinder Kaur
  4. Vikas Hassija
  5. Mohammed Berrada
  6. Vikash K. Mansinghka
  7. Marco F. Cusumano-Towner
  8. Eduardo Marques Pereira
  9. Suleyman Uslu

Papers from Kai Xu's perspective

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

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

Their papers