Wei Li

Artificial Intelligence · with McCallum · 2003–2020

A researcher in the Science corpus: 7 papers; trusts 24 researchers and is trusted by 92 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Li trusts overall

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

  1. T. Griffiths
  2. David M. Blei
  3. John D. Lafferty
  4. Fernando C Pereira
  5. Mark Steyvers
  6. Wray L. Buntine
  7. Andrew McCallum
  8. Peter J. Diggle
  9. Diederik P. Kingma
  10. Richard H. Byrd

Who trusts Wei Li overall

  1. Percy Liang
  2. Andrew McCallum
  3. Gideon S. Mann
  4. Jun Suzuki
  5. Ivan Titov
  6. David Mimno
  7. Delip Rao
  8. Chenghua Lin
  9. Zachary B. Charles
  10. Bettina Grün

Papers from Wei Li's perspective

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

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