K. Kyle

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 7 papers; trusts 52 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom K. Kyle trusts overall

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

  1. Xiaofei Lu
  2. Scott Jarvis
  3. L. Ortega
  4. Nick C. Ellis
  5. P. M. McCarthy
  6. Danielle S. McNamara
  7. Stefan Gries
  8. Scott Andrew Crossley
  9. Averil Coxhead
  10. A. Graesser

Who trusts K. Kyle overall

  1. Scott Andrew Crossley
  2. Luke Plonsky
  3. Kathryn S. McCarthy
  4. Takumi Uchihara
  5. Youjin Kim
  6. Danielle S. McNamara

Papers from K. Kyle's perspective

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

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

Their papers