Rachel K. E. Bellamy

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Rachel K. E. Bellamy trusts overall

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

  1. Solon Barocas
  2. Andrew D. Selbst
  3. Scott M. Lundberg
  4. Finale Doshi-Velez
  5. Niklas Möller
  6. Been Kim
  7. Kush R. Varshney
  8. Min Kyung Lee
  9. Cynthia Rudin

Who trusts Rachel K. E. Bellamy overall

  1. Q. Liao
  2. Xinru Wang
  3. Vivian Lai

Papers from Rachel K. E. Bellamy's perspective

Ordered by how strongly the researchers Rachel K. E. Bellamy 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. Towards A Rigorous Science of Interpretable Machine Learning
  5. Certifying and Removing Disparate Impact
  6. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  7. Datasheets for datasets
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Explanation in Artificial Intelligence: Insights from the Social Sciences

Their papers