Mher Safaryan

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #28,234 of 35,345 by trust here, #34,213 by citations
• Optimization & Training — 16 citations into it
• Federated & Distributed Learning — 9 citations into it

Whom Mher Safaryan trusts overall

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

1. Sebastian Caldas
2. Jakub Konecný
3. J. Urgen Schmidhuber
4. Sebastian U. Stich
5. Omiros Papaspiliopoulos
6. H. Brendan McMahan
7. E.J. Candes
8. Dan Alistarh
9. Alex Krizhevsky
10. Geoffrey E. Hinton

Who trusts Mher Safaryan overall

1. Xinmeng Huang
2. Ping Li

Papers from Mher Safaryan's perspective

Ordered by how strongly the researchers Mher Safaryan 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. 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. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Uncertainty Principle for Communication Compression in Distributed and Federated Learning and the Search for an Optimal Compressor (2020) — 71 citations