Thomas Demeester

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 8 papers; trusts 152 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Demeester trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Tim Rocktaschel
  5. Richard Socher
  6. Sebastian Riedel
  7. Maximilian Nickel
  8. Yann LeCun
  9. Ilya Sutskever
  10. Alex Krizhevsky

Who trusts Thomas Demeester overall

  1. Pasquale Minervini
  2. Luc De Raedt
  3. Seyed Mehran Kazemi
  4. Abiola Obamuyide
  5. Robin Manhaeve
  6. Sebastijan Dumancic
  7. Yufei Feng
  8. Quan Wang
  9. Gustav Sourek
  10. Tim Rocktaschel

Papers from Thomas Demeester's perspective

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

Their papers