Lin Xu

Artificial Intelligence · with Hoos · 2008–2015

A researcher in the Science corpus: 5 papers; trusts 32 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Lin Xu trusts overall

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

  1. Frank Hutter
  2. Kevin Leyton-Brown
  3. Holger H. Hoos
  4. Thomas Bartz-Beielstein
  5. Hendrik Zender
  6. Radford M. Neal
  7. Horst Samulowitz
  8. Leo Breiman
  9. Trevor J. Hastie
  10. Lars Kotthoff

Who trusts Lin Xu overall

  1. Frank Hutter
  2. Holger H. Hoos
  3. Matthias Feurer
  4. Yuri Malitsky
  5. Marius Thomas Lindauer
  6. Katharina Eggensperger
  7. Lars Kotthoff
  8. Chris J. Thornton
  9. Kevin Leyton-Brown
  10. André Biedenkapp

Papers from Lin Xu's perspective

Ordered by how strongly the researchers Lin Xu 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. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  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