Jeremy Blackburn

Artificial Intelligence · 2015–2022

A researcher in the Science corpus: 8 papers; trusts 39 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Jeremy Blackburn trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Diederik P. Kingma
  5. Oriol Vinyals
  6. Tomas Mikolov
  7. Alex Krizhevsky
  8. Emily Dinan
  9. Jason Aaron Edward Weston
  10. Yann LeCun

Who trusts Jeremy Blackburn overall

  1. Bertie Vidgen
  2. Eric Michael Smith
  3. Svetlana Kiritchenko
  4. Jing Xu
  5. Emily Dinan
  6. Rui Cao
  7. David M. Beskow
  8. Maarten Sap
  9. Isar Nejadgholi
  10. Antigoni-Maria Founta

Papers from Jeremy Blackburn's perspective

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

Their papers