Da Xu

Artificial Intelligence · with Achan · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Da Xu trusts overall

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

  1. Diederik P. Kingma
  2. Max Welling
  3. Danilo Jimenez Rezende
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Thomas Kipf
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Ali Rahimi
  10. Laurent Dinh

Who trusts Da Xu overall

  1. Joakim Skarding
  2. Yanbang Wang
  3. Bogdan Gabrys
  4. Yen-Yu Chang
  5. Emanuele Rossi
  6. Katarzyna Musial
  7. Matthew Tancik
  8. Yunyu Liu

Papers from Da Xu's perspective

Ordered by how strongly the researchers Da 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers