B. McMahan

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Privacy & Security — 29 citations into it
• Optimization & Training — 19 citations into it
• Management Science and Operations Research — 10 citations into it
• Computer Networks and Communications — 6 citations into it

Whom B. McMahan trusts overall

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

1. H. Brendan McMahan
2. Cynthia Dwork
3. Shai Shalev-Shwartz
4. Elad Hazan
5. John C. Duchi
6. Vitaly Feldman
7. Abhradeep Thakurta
8. Lin Xiao
9. Yann LeCun
10. Ilya Mironov

Papers from B. McMahan's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern 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. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers

• Practical and Private (Deep) Learning without Sampling or Shuffling (2021) — 253 citations