Earl J. Wagner

Natural Language Processing · 2014

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Earl J. Wagner trusts overall

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

  1. S. Branavan
  2. Luke S. Zettlemoyer
  3. Yoav Artzi
  4. Noah D. Goodman
  5. Haonan Yu
  6. Martha Palmer
  7. Cynthia Matuszek
  8. Pradipto Das
  9. Dipanjan Das

Who trusts Earl J. Wagner overall

  1. Ozan Sener

Papers from Earl J. Wagner's perspective

Ordered by how strongly the researchers Earl J. Wagner 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. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers