Michiel de Jong

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michiel de Jong trusts overall

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

  1. Noam Shazeer
  2. Geoffrey E. Hinton
  3. Adam Roberts
  4. Alex Graves
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Colin Raffel
  8. Alex Krizhevsky
  9. Gautier Izacard
  10. Ilya Sutskever

Papers from Michiel de Jong's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  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. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers