Leon Derczynski

Artificial Intelligence · 2012–2020

A researcher in the Science corpus: 12 papers; trusts 108 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Leon Derczynski trusts overall

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

  1. Zeerak Talat
  2. Tomas Mikolov
  3. E. Tjong Kim Sang
  4. Emily M. Bender
  5. Diederik P. Kingma
  6. Thomas Davidson
  7. Marcos Zampieri
  8. Alan Ritter
  9. Zeynep Tufekci
  10. Marco Lui

Who trusts Leon Derczynski overall

  1. Bertie Vidgen
  2. Svetlana Kiritchenko
  3. Isar Nejadgholi
  4. Steven Bethard
  5. Alan Akbik
  6. Rujun Han
  7. Jinlan Fu
  8. Abeer Aldayel
  9. Alessandro Bondielli
  10. Robin Jia

Papers from Leon Derczynski's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Long Short-Term Memory
  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. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers