Jean Maillard

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 4 papers; trusts 60 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jean Maillard trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Jimmy Ba
  5. Richard Socher
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Yann LeCun
  9. Christopher D. Manning
  10. Alex Graves

Who trusts Jean Maillard overall

  1. Jiayuan Mao
  2. Akari Asai
  3. Fabio Petroni
  4. Michael R. Glass
  5. Aleksandra Piktus
  6. Patrick Lewis
  7. Michele Bevilacqua
  8. Haoyue Shi
  9. Yonatan Belinkov
  10. Gaetano Rossiello

Papers from Jean Maillard's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  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