Christian Stab

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 5 papers; trusts 68 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Christian Stab trusts overall

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

  1. Klaus Krippendorff
  2. Raquel Mochales Palau
  3. Iryna Gurevych
  4. Christopher D. Manning
  5. J. Butler
  6. Daniel Klein
  7. Daniel Marcu
  8. Diederik P. Kingma
  9. J. Fleiss
  10. Geoffrey E. Hinton

Who trusts Christian Stab overall

  1. John Lawrence
  2. Iryna Gurevych
  3. Juri Opitz
  4. Lucie Flekova
  5. Chris Reed
  6. Jan Wira Gotama Putra
  7. Andreas Ruckl'e
  8. Benjamin Schiller
  9. Diyi Yang
  10. Ivan Habernal

Papers from Christian Stab's perspective

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

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers