Jonathan Taylor

Artificial Intelligence · with Brockschmidt · 2008–2016

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Taylor trusts overall

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

  1. Kim Guldstrand Larsen
  2. Alison L. Gibbs
  3. N. Ferns
  4. Martin L. Puterman
  5. Francis Edward Su
  6. Ward Whitt
  7. Prakash Panangaden
  8. Doina Precup

Who trusts Jonathan Taylor overall

  1. Pablo Samuel Castro
  2. Saurabh Arora
  3. Prashant Doshi
  4. Doina Precup

Papers from Jonathan Taylor's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. End-To-End Memory Networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning long-term dependencies with gradient descent is difficult
  9. Memory Networks
  10. Learning Multiple Layers of Features from Tiny Images

Their papers