Ming Xu

Artificial Intelligence · with Kohn · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ming Xu trusts overall

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

  1. Diederik P. Kingma
  2. Ronald J. Williams
  3. Matthew D. Zeiler
  4. David M. Blei
  5. Michael I. Jordan
  6. Yann LeCun
  7. Yarin Gal
  8. Geoffrey E. Hinton
  9. L. Eon Bottou
  10. Danilo Jimenez Rezende

Who trusts Ming Xu overall

  1. Liam Hodgkinson

Papers from Ming Xu's perspective

Ordered by how strongly the researchers Ming Xu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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. GENERATIVE ADVERSARIAL NETS

Their papers