Christina Sauper

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Christina Sauper trusts overall

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

  1. Chin-Yew Lin
  2. Ryan T. McDonald
  3. Dina Demner-Fushman
  4. William W. Cohen
  5. J. Goldstein
  6. Jimmy J. Lin
  7. Robert E. Schapire
  8. Ehud Reiter
  9. Regina Barzilay
  10. Vibhu Mittal

Who trusts Christina Sauper overall

  1. Laura Perez-Beltrachini
  2. Roberto Navigli
  3. Ben Hachey
  4. Mirella Lapata
  5. Simone Paolo Ponzetto
  6. Will Radford
  7. Peter J. Liu
  8. Ani Nenkova
  9. Lucie-Aimée Kaffee
  10. Lena Reed

Papers from Christina Sauper's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers