Mohammed Senoussaoui

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammed Senoussaoui trusts overall

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

  1. Geoffrey E. Hinton
  2. George E. Dahl
  3. Ruslan Salakhutdinov
  4. Abdel-rahman Mohamed
  5. Radford M. Neal
  6. Yoshua Bengio
  7. Roland Memisevic
  8. Patrick Kenny

Papers from Mohammed Senoussaoui's perspective

Ordered by how strongly the researchers Mohammed Senoussaoui 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Deep Architectures for AI
  8. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers