Linda Moy

Artificial Intelligence · 2009–2023

A researcher in the Science corpus: 9 papers; trusts 9 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Linda Moy trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Radford M. Neal
  7. Yann LeCun
  8. Xavier Glorot
  9. David E. Rumelhart

Who trusts Linda Moy overall

  1. Zhi-Hua Zhou
  2. Hongwei Li
  3. Ata Kabán
  4. Jakramate Bootkrajang

Papers from Linda Moy's perspective

Ordered by how strongly the researchers Linda Moy 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. Gradient-based learning applied to document recognition
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. ImageNet classification with deep convolutional neural networks
  6. Going deeper with convolutions
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers