Maha Elbayad

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 5 papers; trusts 52 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Maha Elbayad trusts overall

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

  1. Diederik P. Kingma
  2. Alex Graves
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Jimmy Ba
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Sergey Ioffe
  9. Ronan Collobert
  10. Yann LeCun

Who trusts Maha Elbayad overall

  1. Ankur Bapna
  2. Biao Zhang
  3. Yaniv Leviathan
  4. Yoshitomo Matsubara
  5. Philipp Lindenberger
  6. Mor Geva
  7. Yijin Liu
  8. Sehoon Kim
  9. Yizeng Han
  10. Sneha Kudugunta

Papers from Maha Elbayad's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers