Tom Everitt

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 15 papers; trusts 272 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Tom Everitt trusts overall

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

  1. Richard S. Sutton
  2. Laurent Orseau
  3. Jessica Taylor
  4. J. Urgen Schmidhuber
  5. Andrew Y. Ng
  6. Geoffrey E. Hinton
  7. Bill Hibbard
  8. Stuart Armstrong
  9. Andrew Barto
  10. Pieter Abbeel

Who trusts Tom Everitt overall

  1. Jan Leike
  2. Zachary Kenton
  3. David Krueger
  4. Shane Legg
  5. Iason Gabriel
  6. Eric Langlois
  7. Ramana Kumar
  8. Victoria Krakovna
  9. Richard Ngo
  10. Marcus Hutter

Papers from Tom Everitt's perspective

Ordered by how strongly the researchers Tom Everitt 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers