Isabelle Augenstein

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 19 papers; trusts 653 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

Whom Isabelle Augenstein trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Alex Graves
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. R. Caruana
  8. Tomas Mikolov
  9. Kaiming He
  10. J. Urgen Schmidhuber

Who trusts Isabelle Augenstein overall

  1. Marek Rei
  2. Yi Luan
  3. James Thorne
  4. Sebastian Ruder
  5. Ramakanth Pasunuru
  6. Neema Kotonya
  7. Edward Collins
  8. Bridger Waleed Ammar
  9. Andreas Vlachos
  10. Emily Allaway

Papers from Isabelle Augenstein's perspective

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

Their papers