Reihaneh Torkzadehmahani

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Privacy & Security — 10 citations into it
• Safety, Robustness & Interpretability — 8 citations into it
• Generative Models — 7 citations into it

Whom Reihaneh Torkzadehmahani trusts overall

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

1. Cynthia Dwork
2. Ilya Mironov
3. Individualized Treat
4. Martín Abadi
5. Frank McSherry
6. Kaiming He
7. Alex Krizhevsky
8. Geoffrey E. Hinton
9. James Jordon
10. Nicolas Papernot

Papers from Reihaneh Torkzadehmahani's perspective

Ordered by how strongly the researchers Reihaneh Torkzadehmahani 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. GENERATIVE ADVERSARIAL NETS
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• DP-CGAN: Differentially Private Synthetic Data and Label Generation (2019) — 282 citations