Elnaz Barshan

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Elnaz Barshan trusts overall

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

  1. Roman Rosipal
  2. Ker-Chau Li
  3. Le Song
  4. R. Fisher
  5. Kari Torkkola
  6. Sugato Basu
  7. Mikhail Bilenko
  8. Alex Smola
  9. Kilian Q. Weinberger
  10. Kenji Fukumizu

Who trusts Elnaz Barshan overall

  1. Liangjun Feng
  2. Chunhui Zhao

Papers from Elnaz Barshan's perspective

Ordered by how strongly the researchers Elnaz Barshan 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  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