Nizar Habash

Artificial Intelligence · with Alcalde · 2017–2024

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nizar Habash trusts overall

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

  1. Alec Radford
  2. Jason Aaron Edward Weston
  3. Jianfeng Gao
  4. Ryan J. Lowe
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Pranav Rajpurkar
  8. Zach Nussbaum
  9. Diederik P. Kingma
  10. Tomas Mikolov

Papers from Nizar Habash's perspective

Ordered by how strongly the researchers Nizar Habash 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Distributed Representations of Words and Phrases and their Compositionality (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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers