Ella Charlaix

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 102 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ella Charlaix trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Yann LeCun
  5. Ilya Sutskever
  6. Diederik P. Kingma
  7. Kyunghyun Cho
  8. Sepp Hochreiter
  9. Oriol Vinyals
  10. Kaiming He

Who trusts Ella Charlaix overall

  1. Mojtaba Valipour
  2. Mengzhou Xia
  3. Lukas Hedegaard
  4. Beidi Chen
  5. Wei Zhang

Papers from Ella Charlaix's perspective

Ordered by how strongly the researchers Ella Charlaix 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers