Atoosa Kasirzadeh

Artificial Intelligence · 2014–2022

A researcher in the Science corpus: 5 papers; trusts 58 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Atoosa Kasirzadeh trusts overall

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

  1. Carlos A. Zednik
  2. Been Kim
  3. Himabindu Lakkaraju
  4. Satoshi Hara
  5. Qingyuan Zhao
  6. Sandra Wachter
  7. Cynthia Rudin
  8. Geoffrey E. Hinton
  9. Alexandra Chouldechova
  10. Trevor J. Hastie

Who trusts Atoosa Kasirzadeh overall

  1. François Soumis
  2. Simon Lacoste-Julien
  3. Lucas Rosenblatt
  4. Angelina Wang

Papers from Atoosa Kasirzadeh's perspective

Ordered by how strongly the researchers Atoosa Kasirzadeh 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  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. Going deeper with convolutions

Their papers