Joel Nothman

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 5 papers; trusts 8 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Joel Nothman trusts overall

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

  1. Tibor Kiss
  2. Silviu Cucerzan
  3. Mitchell P. Marcus
  4. E. Tjong Kim Sang
  5. Roberto Navigli
  6. Simone Paolo Ponzetto
  7. Rada Mihalcea
  8. Razvan C. Bunescu
  9. Rong-En Fan
  10. Fabian M. Suchanek

Who trusts Joel Nothman overall

  1. Heiko Paulheim
  2. Greg Durrett
  3. Afshin Rahimi
  4. Rodrigo Agerri
  5. D. Gillick
  6. Peng Qi
  7. Xiaoman Pan
  8. Daniel Klein
  9. Graham Neubig
  10. Yuan Li

Papers from Joel Nothman's perspective

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

  1. Long Short-Term Memory
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Building a Large Annotated Corpus of English: The Penn Treebank
  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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers