Tao Li

Artificial Intelligence · with Li · 2017

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Li trusts overall

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

  1. Lei Yu
  2. Jerome H. Friedman
  3. J. Ross Quinlan
  4. Huan Liu
  5. Ulrike von Luxburg
  6. Muthu Dayalan
  7. Yvan Saeys
  8. Andre´ Elisseeff
  9. Mark Newman
  10. Thomas Abeel

Who trusts Tao Li overall

  1. Dina Jrab

Papers from Tao Li's perspective

Ordered by how strongly the researchers Tao Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Regression Shrinkage and Selection via the Lasso
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers