Bassem Makni

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 131 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bassem Makni trusts overall

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

  1. Ilya Sutskever
  2. Diederik P. Kingma
  3. Tomas Mikolov
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Richard Socher
  7. Alex Graves
  8. Alex Krizhevsky
  9. Maximilian Nickel
  10. Antoine Bordes

Papers from Bassem Makni's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers