David Nadeau

Artificial Intelligence · 2007

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom David Nadeau trusts overall

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

  1. Michael Collins
  2. Dekang Lin
  3. Marti A. Hearst
  4. Peter D. Turney
  5. Burr Settles
  6. Andrew McCallum
  7. Oren Etzioni
  8. Wei Li
  9. E. Tjong Kim Sang
  10. Ellen Riloff

Who trusts David Nadeau overall

  1. Suyu Ge
  2. Arindam Mitra
  3. Vikas Yadav
  4. Yuan Luo
  5. Qi Liu
  6. Delip Rao
  7. Jing Li
  8. Suncong Zheng
  9. Yi Luan
  10. Fangzhao Wu

Papers from David Nadeau's perspective

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

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

Their papers