Saber Salehkaleybar

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 36 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #26,083 of 35,345 by trust here, #25,809 by citations
• Statistics and Probability — 16 citations into it
• Optimization & Training — 15 citations into it
• Causal Inference & Discovery — 14 citations into it
• Statistical Learning Theory — 8 citations into it
• Management Science and Operations Research — 8 citations into it
• Computer Networks and Communications — 7 citations into it; #8,935 of 9,886 by trust here, #9,518 by citations
• Information Theory — 7 citations into it

Whom Saber Salehkaleybar trusts overall

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

1. A. Garg
2. Yuchen Zhang
3. Michael I. Jordan
4. Mark Braverman
5. John C. Duchi
6. Jason D. Lee
7. Tengyu Ma
8. Arsalan Sharifnassab
9. George Casella
10. Martin J. Wainwright

Who trusts Saber Salehkaleybar overall

1. Arsalan Sharifnassab
2. S. J. Golestani
3. Yanlin Zhou
4. Chandler Squires

Papers from Saber Salehkaleybar's perspective

Ordered by how strongly the researchers Saber Salehkaleybar 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Et al

Their papers

• Learning Causal Structures Using Regression Invariance (2017) — 74 citations
• Order Optimal One-Shot Distributed Learning (2019) — 10 citations
• Theoretical Limits of One-Shot Distributed Learning (2019)
• One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them (2019) — 40 citations