Annie Louis

Artificial Intelligence · 2009–2020

A researcher in the Science corpus: 7 papers; trusts 65 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Annie Louis trusts overall

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

  1. Chin-Yew Lin
  2. Tomas Mikolov
  3. Eduard H. Hovy
  4. D. Gillick
  5. Ilya Sutskever
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Aria Haghighi
  9. Shankar Kumar
  10. Dana Movshovitz-Attias

Who trusts Annie Louis overall

  1. Maxime Peyrard
  2. George Giannakopoulos
  3. Oleg V. Vasilyev
  4. Daniel Deutsch
  5. Kai Hong
  6. Iryna Gurevych
  7. Manik Bhandari
  8. Nicholas Egan
  9. Matan Eyal
  10. Yann Dubois

Papers from Annie Louis's perspective

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

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  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