Jay DeYoung

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 59 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Jay DeYoung trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Ronald J. Williams
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Jimmy Ba
  7. Ilya Sutskever
  8. Kyunghyun Cho
  9. Yann LeCun
  10. Alex Graves

Who trusts Jay DeYoung overall

  1. Sarah Wiegreffe
  2. Alon Jacovi
  3. Ana Marasovic
  4. Bodhisattwa Prasad Majumder
  5. Bhargavi Paranjape
  6. Karl Fredrik Erliksson
  7. Peter Hase
  8. Yoav Goldberg
  9. Chenhao Tan
  10. Sarthak Jain

Papers from Jay DeYoung's perspective

Ordered by how strongly the researchers Jay DeYoung 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. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers