Rahma Chaabouni

Artificial Intelligence · 2017–2025

A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Rahma Chaabouni trusts overall

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

  1. Ronald J. Williams
  2. Diederik P. Kingma
  3. Thomas Schatz
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Paul A. Viola
  7. Jimmy Ba
  8. Yann LeCun
  9. Alex Krizhevsky
  10. Maarten Versteegh

Who trusts Rahma Chaabouni overall

  1. Yonatan Belinkov

Papers from Rahma Chaabouni's perspective

Ordered by how strongly the researchers Rahma Chaabouni 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers