Anne Lauscher

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 10 papers; trusts 264 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Anne Lauscher trusts overall

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

  1. Tomas Mikolov
  2. Diederik P. Kingma
  3. Ilya Sutskever
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Alec Radford
  7. Alex Krizhevsky
  8. Kaiming He
  9. Richard Socher
  10. Yann LeCun

Who trusts Anne Lauscher overall

  1. Sunipa Dev
  2. Goran Glavas
  3. Ivan Vulic
  4. Jonas Pfeiffer
  5. Seraphina Goldfarb-Tarrant
  6. Soumya Barikeri
  7. Phillip Rust
  8. Debora Nozza
  9. Iason Gabriel
  10. Peter Eckersley

Papers from Anne Lauscher's perspective

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

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