Sadra Boreiri

Optimization & Training · 2020

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

• Optimization & Training — 54 citations into it
• Artificial Intelligence — 52 citations into it
• Computer Networks and Communications — 41 citations into it
• Computational Mechanics — 24 citations into it
• Federated & Distributed Learning — 19 citations into it
• Management Science and Operations Research — 9 citations into it
• Algorithms & Complexity — 8 citations into it
• Efficiency & Compression — 8 citations into it

Whom Sadra Boreiri trusts overall

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

1. Sebastian U. Stich
2. Angelia Nedić
3. Francis R. Bach
4. John C. Duchi
5. Alexander Olshevsky
6. Yurii E. Nesterov
7. Michael G. Rabbat
8. Ohad Shamir
9. Stephen P. Boyd
10. Lin Xiao

Papers from Sadra Boreiri's perspective

Ordered by how strongly the researchers Sadra Boreiri 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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

• A Unified Theory of Decentralized SGD with Changing Topology and Local Updates (2020) — 652 citations