Scott Garrabrant

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 6 papers; trusts 19 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Scott Garrabrant trusts overall

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

  1. Matthew Richardson
  2. Luc De Raedt
  3. Stuart J. Russell
  4. Stephen H. Muggleton
  5. Thomas G. Dietterich
  6. Pedro M. Domingos
  7. Nate Soares
  8. Philipp Hennig
  9. Richard Maclin
  10. Kristian Kersting

Who trusts Scott Garrabrant overall

  1. Tom Everitt
  2. Richard Ngo
  3. Leo Gao
  4. Abram Demski
  5. Gary Lea
  6. Surojit Biswas
  7. John Schulman
  8. Jan Leike

Papers from Scott Garrabrant's perspective

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

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

Their papers