Maureen de Seyssel

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Maureen de Seyssel trusts overall

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

  1. Thomas Schatz
  2. Alexei Baevski
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Yoav Goldberg
  6. Yu-An Chung
  7. Jacob Devlin
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Myle Ott

Who trusts Maureen de Seyssel overall

  1. Tu Nguyen
  2. Puyuan Peng

Papers from Maureen de Seyssel's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers