Reabal Najjar

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Reabal Najjar trusts overall

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

  1. Hooman H. Rashidi
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. J. Ross Quinlan
  5. William R. Swartout
  6. Ge Wang
  7. Alex John London
  8. Yann LeCun
  9. Alec Radford
  10. David E. Rumelhart

Papers from Reabal Najjar's perspective

Ordered by how strongly the researchers Reabal Najjar 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. Gradient-based learning applied to document recognition
  4. ImageNet Large Scale Visual Recognition Challenge
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers