Paul-Alexis Dray

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 7 papers; trusts 400 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Paul-Alexis Dray trusts overall

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

  1. Ilya Sutskever
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Chin-Yew Lin
  6. Alex Krizhevsky
  7. Ronald J. Williams
  8. Richard Socher
  9. Oriol Vinyals
  10. Kaiming He

Who trusts Paul-Alexis Dray overall

  1. Sebastian Gehrmann
  2. Yi-Ting Yeh
  3. Tanya Goyal

Papers from Paul-Alexis Dray's perspective

Ordered by how strongly the researchers Paul-Alexis Dray trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers