Christian Dugast

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christian Dugast trusts overall

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

  1. Sebastian Ruder
  2. Geoffrey E. Hinton
  3. Jacob Devlin
  4. Yoshua Bengio
  5. Kilian Q. Weinberger
  6. Diederik P. Kingma
  7. Paweł Budzianowski
  8. Nils Reimers
  9. Ilya Sutskever

Papers from Christian Dugast's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Language Models are Unsupervised Multitask Learners
  8. ImageNet: A large-scale hierarchical image database
  9. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers