Xiaobo Shen

Artificial Intelligence · with Cai · 2018

A researcher in the Science corpus: 1 paper; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaobo Shen trusts overall

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

  1. Geoffrey E. Hinton
  2. Matthias W. Seeger
  3. Andrew Gordon Wilson
  4. Radford M. Neal
  5. Diederik P. Kingma
  6. Carl E. Rasmussen
  7. Michael I. Jordan
  8. Neil D. Lawrence
  9. Christopher K. I. Williams
  10. Michalis K. Titsias

Papers from Xiaobo Shen's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  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