S. Whittaker

Artificial Intelligence · Conference on Computer Supported Cooperative Work · 2000–2018

A researcher in the Science corpus: 6 papers; trusts 18 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom S. Whittaker trusts overall

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

  1. Mark S. Granovetter
  2. Scott M. Lundberg
  3. Marco Tulio Ribeiro
  4. Brian Y. Lim
  5. Denis J. Hilton
  6. René F. Kizilcec
  7. Rebecca E. Grinter
  8. Motahhare Eslami
  9. Su-In Lee
  10. Zachary Chase Lipton

Who trusts S. Whittaker overall

  1. Anya Belz
  2. Verena Rieser
  3. Rebecca E. Grinter
  4. Franz Joseph Och
  5. Albert Gatt
  6. Ehud Reiter
  7. Vivian Lai
  8. Amanda Stent
  9. Jekaterina Novikova
  10. James Clarke

Papers from S. Whittaker's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. The mythos of model interpretability
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  7. ImageNet Large Scale Visual Recognition Challenge
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers