Ahmad El-Sallab

Artificial Intelligence · with Kiran · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ahmad El-Sallab trusts overall

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

  1. Richard S. Sutton
  2. J. Urgen Schmidhuber

Papers from Ahmad El-Sallab's perspective

Ordered by how strongly the researchers Ahmad El-Sallab trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Human-level control through deep reinforcement learning
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Reinforcement Learning: An Introduction
  5. Asynchronous Methods for Deep Reinforcement Learning
  6. Gradient-based learning applied to document recognition
  7. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Trust Region Policy Optimization (International Conference on Machine Learning)

Their papers