Negar Rostamzadeh

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 11 papers; trusts 608 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Negar Rostamzadeh trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Yann LeCun
  8. Ilya Sutskever
  9. Karen Simonyan
  10. Andrew Zisserman

Who trusts Negar Rostamzadeh overall

  1. Arnout Devos
  2. Zhen Wang
  3. Han-Jia Ye
  4. Eli Schwartz
  5. Kun Yan

Papers from Negar Rostamzadeh's perspective

Ordered by how strongly the researchers Negar Rostamzadeh 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers