Mohammed Chlieh

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammed Chlieh trusts overall

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

  1. Pete Warden
  2. Xavier Glorot
  3. Tara N. Sainath
  4. Guoguo Chen
  5. Carolina Parada
  6. Yoshua Bengio

Papers from Mohammed Chlieh's perspective

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

  1. Understanding the difficulty of training deep feedforward neural networks
  2. ImageNet classification with deep convolutional neural networks
  3. WaveNet: A Generative Model for Raw Audio
  4. Long Short-Term Memory
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers