Mohammed Attik

Natural Language Processing · 2012

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammed Attik trusts overall

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

  1. Holger Schwenk
  2. Yoshua Bengio
  3. Hang Le

Who trusts Mohammed Attik overall

  1. Holger Schwenk
  2. Alexei Baevski
  3. Jan A. Botha
  4. Michael Auli
  5. Yoshua Bengio

Papers from Mohammed Attik's perspective

Ordered by how strongly the researchers Mohammed Attik 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. Learning Deep Architectures for AI
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. A Neural Probabilistic Language Model
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers