Sam Maksoud

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 67 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sam Maksoud trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Shaoqing Ren
  4. Tsung-Yi Lin
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Yann LeCun
  9. Diederik P. Kingma
  10. X. Zhang

Papers from Sam Maksoud's perspective

Ordered by how strongly the researchers Sam Maksoud 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers