Samuel Barrett

Artificial Intelligence · 2010–2022

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Samuel Barrett trusts overall

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

  1. Peter Stone
  2. Matthew E. Taylor
  3. Richard S. Sutton
  4. James S. Albus
  5. Andrew Barto
  6. Gavin Adrian Rummery
  7. Satinder Singh
  8. Sylvain Gelly
  9. Levente Kocsis
  10. Todd Hester

Who trusts Samuel Barrett overall

  1. Stefano V. Albrecht
  2. Owen Macindoe
  3. Arrasy Rahman
  4. Peter Stone
  5. Chelsea Finn
  6. Bruno Castro da Silva
  7. Niklas Höpner
  8. Filippos Christianos
  9. Tianhe Yu
  10. Ignasi Clavera Gilaberte

Papers from Samuel Barrett's perspective

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

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

Their papers