Laura Erhan

Information Fusion · 2020

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

Whom Laura Erhan trusts overall

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

  1. Pedro M. Domingos
  2. Richard S. Sutton
  3. Charu C. Aggarwal
  4. Yann LeCun
  5. Markos Markou
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Kevin P. Murphy
  9. Varun Chandola
  10. Andrew Barto

Papers from Laura Erhan's perspective

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

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

Their papers