Andrew Critch

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 7 papers; trusts 145 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Critch trusts overall

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

  1. Moshe Tennenholtz
  2. Nate Soares
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Benja Fallenstein
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. Andrew Y. Ng
  9. Yann LeCun
  10. Richard S. Sutton

Who trusts Andrew Critch overall

  1. Tom Everitt
  2. Dan Hendrycks
  3. Richard Ngo

Papers from Andrew Critch's perspective

Ordered by how strongly the researchers Andrew Critch 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. 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. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers