Shaobo Lin

Statistical Learning Theory · 2016

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Shaobo Lin trusts overall

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

  1. Ding-Xuan Zhou
  2. Ingo Steinwart
  3. Dustin Boswell
  4. Yuchen Zhang
  5. Bernhard Schölkopf
  6. Ohad Shamir
  7. Shai Fine
  8. Martin J. Wainwright
  9. Theodoros Evgeniou
  10. Garvesh Raskutti

Who trusts Shaobo Lin overall

  1. Shusen Wang
  2. Xiang Li
  3. Ding-Xuan Zhou
  4. Lee H. Dicker
  5. Wenhao Yang
  6. Dean Phillips Foster
  7. Zhihua Zhang
  8. Kaixuan Huang
  9. Dominic Richards

Papers from Shaobo Lin's perspective

Ordered by how strongly the researchers Shaobo Lin 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers