Rebecca J. Passonneau

Artificial Intelligence · 2004–2013

A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 119 researchers here, as inferred from the citation graph.

Subfields

Whom Rebecca J. Passonneau trusts overall

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

  1. Chin-Yew Lin
  2. Klaus Krippendorff
  3. Thorsten Joachims
  4. Eduard H. Hovy
  5. Soo-Min Kim
  6. Michael Collins
  7. Cynthia Rudin
  8. Tina Hviid Rydberg
  9. Isabelle M Guyon
  10. Ron Kohavi

Who trusts Rebecca J. Passonneau overall

  1. Chin-Yew Lin
  2. Ani Nenkova
  3. Cynthia Rudin
  4. Daniel Deutsch
  5. D. Gillick
  6. Ehud Reiter
  7. Lucy Vanderwende
  8. Xiao Ding
  9. Theja Tulabandhula
  10. Jackie Chi Kit Cheung

Papers from Rebecca J. Passonneau's perspective

Ordered by how strongly the researchers Rebecca J. Passonneau 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Bleu: a Method for Automatic Evaluation of Machine Translation
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers