Lucie-Aimée Kaffee

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 3 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lucie-Aimée Kaffee trusts overall

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

  1. Chin-Yew Lin
  2. Thorsten Joachims
  3. Ilya Sutskever
  4. Oriol Vinyals
  5. Geoffrey E. Hinton
  6. Alexander M. Rush
  7. Yoshua Bengio
  8. Ehud Reiter
  9. Diederik P. Kingma
  10. Rémi Lebret

Papers from Lucie-Aimée Kaffee's perspective

Ordered by how strongly the researchers Lucie-Aimée Kaffee trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers