Elias Nehme

Model Architectures · 2018–2021

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

Subfields

Whom Elias Nehme trusts overall

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

  1. Andrew L. Maas
  2. Diederik P. Kingma
  3. Weidi Xie
  4. Johannes E. Schindelin
  5. Jimmy Ba
  6. Curtis T. Rueden
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Andrew Zisserman
  10. Kaiming He

Papers from Elias Nehme's perspective

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

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

Their papers