Walter Daelemans

Artificial Intelligence · Journal of machine learning research · 1996–2021

A researcher in the Science corpus: 17 papers; trusts 141 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Walter Daelemans trusts overall

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

  1. William W. Cohen
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Bernard Merialdo
  7. Ilya Sutskever
  8. Chih-Jen Lin
  9. Tomas Mikolov
  10. Dina Demner-Fushman

Who trusts Walter Daelemans overall

  1. Georg I. Schlünz
  2. Lluís Màrquez i Villodre
  3. Urvashi Khandelwal
  4. Dong Nguyen
  5. Sander Wubben
  6. Clayton J. Hutto
  7. Fons Wijnhoven
  8. Omer Levy
  9. Tong Niu
  10. Maria Rigaki

Papers from Walter Daelemans's perspective

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

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