Nada Sahlab

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nada Sahlab trusts overall

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

  1. Ilya Sutskever
  2. Chong Zhou

Papers from Nada Sahlab's perspective

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

  1. Long Short-Term Memory
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Overcoming catastrophic forgetting in neural networks
  7. A Survey on Transfer Learning
  8. One-shot learning of object categories
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Long Short Term Memory Networks for Anomaly Detection in Time Series (The European Symposium on Artificial Neural Networks)

Their papers