François Portet

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 3 papers; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom François Portet trusts overall

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

  1. Yoshua Bengio
  2. Ilya Sutskever
  3. Dzmitry Bahdanau
  4. Sepp Hochreiter
  5. Kyunghyun Cho
  6. Geoffrey E. Hinton
  7. Andros Tjandra
  8. Diederik P. Kingma
  9. J. Urgen Schmidhuber
  10. Oriol Vinyals

Who trusts François Portet overall

  1. Soumya Batra
  2. Wenxiu Ding
  3. Ernie Chang
  4. Shreyan Bakshi

Papers from François Portet's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers