Lucile Saulnier

Artificial Intelligence · 2022–2024

A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lucile Saulnier trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Kaiming He
  6. Ilya Sutskever
  7. Jimmy Ba
  8. Yann LeCun
  9. Kenneth Heafield
  10. Alex Graves

Who trusts Lucile Saulnier overall

  1. Stella Biderman

Papers from Lucile Saulnier's perspective

Ordered by how strongly the researchers Lucile Saulnier 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. ImageNet Large Scale Visual Recognition Challenge
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers