Julien Demouth

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Julien Demouth trusts

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

  1. Luke S. Zettlemoyer (in Artificial Intelligence)
  2. Richard Socher (in Artificial Intelligence)

Who trusts Julien Demouth

  1. Tim Dettmers (in Artificial Intelligence)
  2. Luke S. Zettlemoyer (in Artificial Intelligence)
  3. Dan Alistarh (in Artificial Intelligence)
  4. Elias Frantar (in Efficiency & Compression)

Papers from Julien Demouth's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Going deeper with convolutions
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
  9. ImageNet: A large-scale hierarchical image database
  10. Gradient-based learning applied to document recognition

Their papers