D. Bikel

Artificial Intelligence · 2004–2024

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom D. Bikel trusts overall

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

  1. Michael Collins
  2. Adwait Ratnaparkhi
  3. Daniel Gildea
  4. Ian H. Witten
  5. Eugene Charniak
  6. Mitchell P. Marcus
  7. Jason Eisner
  8. James K. Baker
  9. T. Bell
  10. Terry Koo

Who trusts D. Bikel overall

  1. Vasin Punyakanok
  2. Ivan Titov
  3. James Henderson
  4. Liang Huang
  5. Charles Sutton
  6. Dan Roth
  7. Ryan T. McDonald
  8. Yue Zhang
  9. Wen-tau Yih
  10. Andrew McCallum

Papers from D. Bikel's perspective

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

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

Their papers