Charlotte Pasqual

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Charlotte Pasqual trusts overall

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

  1. Danqi Chen
  2. Peilin Yang
  3. Wei Yang
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Jacob Devlin
  7. Ilya Sutskever
  8. Jimmy J. Lin
  9. Diederik P. Kingma
  10. Alex Krizhevsky

Papers from Charlotte Pasqual's perspective

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

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

Their papers