Kai Li

Statistics and Probability · with Rollins · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Li trusts overall

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

  1. Lokman I. Meho
  2. Simone Teufel
  3. Christopher D. Manning
  4. Heather A. Piwowar
  5. Eugene Garfield
  6. Betty Samraj
  7. Advaith Siddharthan
  8. Daniel Klein
  9. Mihai Surdeanu
  10. Ivan Zupic

Who trusts Kai Li overall

  1. Raminta Pranckute

Papers from Kai Li's perspective

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

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

Their papers