Li

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Li trusts overall

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

  1. John Blitzer
  2. Wenyuan Dai
  3. Qiang Yang

Papers from Li's perspective

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

  1. Domain Adaptation with Structural Correspondence Learning
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Boosting for transfer learning
  8. Long Short-Term Memory
  9. Multitask Learning
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers