Paul-Ambroise Duquenne

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 5 papers; trusts 57 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Paul-Ambroise Duquenne trusts overall

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

  1. Holger Schwenk
  2. Mikel Artetxe
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Changhan Wang
  7. Ilya Sutskever
  8. Alex Graves
  9. Jörg Tiedemann
  10. Alex Krizhevsky

Who trusts Paul-Ambroise Duquenne overall

  1. Qianqian Dong
  2. Ann Lee
  3. Hongyu Gong
  4. Rongjie Huang
  5. Ye Jia
  6. Fengpeng Yue

Papers from Paul-Ambroise Duquenne's perspective

Ordered by how strongly the researchers Paul-Ambroise Duquenne 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  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. Sequence to Sequence Learning with Neural Networks (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. Gradient-based learning applied to document recognition

Their papers