Daan van Esch

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 5 papers; trusts 24 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Daan van Esch trusts overall

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

  1. Emily M. Bender
  2. Jacob Devlin
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Alexis Conneau
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Guillaume Lample
  10. Yann LeCun

Who trusts Daan van Esch overall

  1. Adrien Barbaresi
  2. Ankur Bapna

Papers from Daan van Esch's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. 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. ImageNet: A large-scale hierarchical image database
  10. Gradient-based learning applied to document recognition

Their papers