Eliezer Yudkowsky

Artificial Intelligence · 2006–2020

A researcher in the Science corpus: 8 papers; trusts 79 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Eliezer Yudkowsky trusts overall

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

  1. J. Urgen Schmidhuber
  2. Nick Bostrom
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Andrew Y. Ng
  6. S. Omohundro
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Alex Graves
  10. Yann LeCun

Who trusts Eliezer Yudkowsky overall

  1. Ben Goertzel
  2. Nate Soares
  3. Stuart Armstrong
  4. Tom Everitt
  5. Nick Bostrom
  6. Roman V Yampolskiy
  7. Christina Heinze-Deml
  8. Benja Fallenstein
  9. Dan Dewey
  10. Richard Ngo

Papers from Eliezer Yudkowsky's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers