Farhad Farokhi

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 112 citations into it
• Privacy & Security — 46 citations into it
• Safety, Robustness & Interpretability — 37 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Sociology and Political Science — 11 citations into it
• Optimization & Training — 7 citations into it
• Statistics and Probability — 7 citations into it

Whom Farhad Farokhi trusts overall

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

1. Jaideep Vaidya
2. Kamalika Chaudhuri
3. Cynthia Dwork
4. Reza Shokri
5. Wenliang Du
6. Ohad Shamir
7. H. Brendan McMahan
8. Radford M. Neal
9. Geoffrey E. Hinton
10. Alex Krizhevsky

Papers from Farhad Farokhi's perspective

Ordered by how strongly the researchers Farhad Farokhi 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. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Intriguing properties of neural networks
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• When Machine Learning Meets Privacy (2020) — 350 citations
• The Value of Collaboration in Convex Machine Learning with Differential Privacy (2019) — 112 citations