Tao Jiang

2002

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Tao Jiang trusts overall

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

  1. Jerome H. Friedman
  2. Yann LeCun
  3. Trevor J. Hastie
  4. Yoshua Bengio
  5. Leo Breiman
  6. Vladimir Naumovich Vapni
  7. Ilya M. Sobol
  8. Michael L. Stein
  9. Yoav Freund
  10. Geoffrey E. Hinton

Who trusts Tao Jiang overall

  1. S. Shan
  2. Nadia Burkart
  3. Jerome H. Friedman
  4. A. Goldstein
  5. G. G. Wang
  6. Marco F. Huber
  7. Bogdan E. Popescu
  8. Adam Kapelner
  9. Justin Bleich
  10. E. Pitkin

Papers from Tao Jiang's perspective

Ordered by how strongly the researchers Tao Jiang 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Going deeper with convolutions

Their papers