Kimia Nadjahi

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Kimia Nadjahi trusts overall

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

  1. Philip Thomas
  2. Kaiming He
  3. Richard S. Sutton
  4. Romain Laroche
  5. Thiago D. Simão
  6. Yann LeCun
  7. Geoffrey E. Hinton
  8. Marco Cuturi
  9. Mohammad Ghavamzadeh
  10. Marc G. Bellemare

Who trusts Kimia Nadjahi overall

  1. Aviral Kumar
  2. Thiago D. Simão
  3. Romain Laroche
  4. Sergey Levine
  5. Aurick Zhou
  6. George Tucker

Papers from Kimia Nadjahi's perspective

Ordered by how strongly the researchers Kimia Nadjahi 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. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers