Andrew D. Selbst

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 7 papers; trusts 12 researchers and is trusted by 118 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew D. Selbst trusts overall

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

  1. Emily M. Bender
  2. Sorelle A. Friedler
  3. Alexandra Chouldechova
  4. Lucy Suchman
  5. Tarleton Gillespie
  6. Paul Dourish
  7. Stephen R. Barley
  8. Mark S. Ackerman
  9. M. Stevenson
  10. Angèle Christin

Who trusts Andrew D. Selbst overall

  1. Joshua A. Kroll
  2. Vidushi Marda
  3. Adrian Weller
  4. Solon Barocas
  5. Philipp Hacker
  6. Amanda Coston
  7. Indra Elizabeth Kumar
  8. Suresh Venkatasubramanian
  9. Muhammad Bilal Zafar
  10. Inioluwa Deborah Raji

Papers from Andrew D. Selbst's perspective

Ordered by how strongly the researchers Andrew D. Selbst 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. Gradient-based learning applied to document recognition
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Equality of Opportunity in Supervised Learning
  8. Explaining and Harnessing Adversarial Examples
  9. Long Short-Term Memory
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers