Azade Nazi

Nature · 2013–2021

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

Whom Azade Nazi trusts overall

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

  1. Honglak Lee
  2. Andrew Y. Ng

Who trusts Azade Nazi overall

  1. Zena M. Hira

Papers from Azade Nazi's perspective

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

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. Rectified Linear Units Improve Restricted Boltzmann Machines
  3. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
  4. Proximal Policy Optimization Algorithms (arXiv.org)
  5. Self-taught learning: transfer learning from unlabeled data
  6. An Analysis of Single-Layer Networks in Unsupervised Feature Learning
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. Learning Multiple Layers of Features from Tiny Images

Their papers