Anne Schuth

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Anne Schuth trusts overall

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

  1. Thorsten Joachims
  2. Tie-Yan Liu
  3. Richard S. Sutton
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Filip Radlinski
  8. Lihong Li
  9. Olivier Chapelle
  10. Ilya Sutskever

Who trusts Anne Schuth overall

  1. Thorsten Joachims
  2. Adith Swaminathan
  3. Katja Hofmann
  4. Aleksandr Chuklin

Papers from Anne Schuth's perspective

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

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

Their papers