Jesse Hoey

Artificial Intelligence · 2006–2019

A researcher in the Science corpus: 5 papers; trusts 47 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Jesse Hoey trusts overall

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

  1. Cecilia L. Ridgeway
  2. Diederik P. Kingma
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Kyunghyun Cho
  7. Dzmitry Bahdanau
  8. Leslie Pack Kaelbling
  9. Christopher D. Manning
  10. Alex Krizhevsky

Who trusts Jesse Hoey overall

  1. Todd Hester
  2. Csaba Szepesvari
  3. Hado van Hasselt
  4. J. Langford
  5. Lihong Li
  6. Steven Y. Feng
  7. Varun Prashant Gangal
  8. Michael L. Littman
  9. Peter Stone
  10. Jasper Snoek

Papers from Jesse Hoey's perspective

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

Their papers