Omid Javidbakht

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Privacy & Security — 16 citations into it
• Statistics and Probability — 12 citations into it
• Optimization & Training — 6 citations into it

Whom Omid Javidbakht trusts overall

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

1. Cynthia Dwork
2. Adam D. Smith
3. Alex Krizhevsky
4. Eric R. Ziegel
5. Kaiming He
6. John C. Duchi
7. Kamalika Chaudhuri
8. David Arthur
9. Kobbi Nissim
10. Shiva Prasad Kasiviswanathan

Papers from Omid Javidbakht's perspective

Ordered by how strongly the researchers Omid Javidbakht trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Learning Multiple Layers of Features from Tiny Images
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Differentially Private Empirical Risk Minimization
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Our Data, Ourselves: Privacy Via Distributed Noise Generation
10. Long Short-Term Memory

Their papers

• Element Level Differential Privacy: The Right Granularity of Privacy (2019) — 19 citations