Peter Eckersley

Artificial Intelligence · 2010–2022

A researcher in the Science corpus: 8 papers; trusts 28 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Eckersley trusts overall

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

  1. Dylan Hadfield-Menell
  2. Paul Christiano
  3. Radford M. Neal
  4. Christian P. Robert
  5. S. Omohundro
  6. Nick Bostrom
  7. Alexandra Chouldechova
  8. Jessica Taylor
  9. Steven J. Murdoch
  10. Heather Roff

Who trusts Peter Eckersley overall

  1. Steven Englehardt
  2. Sanorita Dey
  3. Aleksandra Korolova
  4. Gunes Acar
  5. Arvind Narayanan
  6. Iason Gabriel
  7. Thilo Hagendorff
  8. Seda F. Gürses
  9. Nirupam Roy
  10. Jonathan R. Mayer

Papers from Peter Eckersley's perspective

Ordered by how strongly the researchers Peter Eckersley 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. Intriguing properties of neural networks
  5. Explaining and Harnessing Adversarial Examples
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers