Jenny Hamer

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Efficiency & Compression — 10 citations into it
• Optimization & Training — 7 citations into it

Whom Jenny Hamer trusts overall

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

1. Geoffrey E. Hinton
2. Oriol Vinyals
3. Jakub Konecný
4. Raef Bassily
5. Rafal Józefowicz
6. H. Brendan McMahan
7. Andrew Straiton Hard
8. Alex Krizhevsky
9. Yoshua Bengio
10. Mehryar Mohri

Papers from Jenny Hamer's perspective

Ordered by how strongly the researchers Jenny Hamer 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Distilling the Knowledge in a Neural Network (arXiv.org)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• FedBoost: Communication-Efficient Algorithms for Federated Learning (2020) — 10 citations
• FedBoost: A Communication-Efficient Algorithm for Federated Learning (2020) — 247 citations