Jessica Taylor

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 6 papers; trusts 81 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Jessica Taylor trusts overall

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

  1. Andrew Y. Ng
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. A. Thompson
  5. Nate Soares
  6. Pieter Abbeel
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Karen Simonyan
  10. Yann LeCun

Who trusts Jessica Taylor overall

  1. Tom Everitt
  2. Victoria Krakovna
  3. Laurent Orseau
  4. Jan Leike
  5. Gary Lea
  6. Miljan Martic
  7. Shane Legg
  8. Marcus Hutter
  9. Iason Gabriel
  10. Peter Eckersley

Papers from Jessica Taylor's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers