Christopher Briggs

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Federated & Distributed Learning — 10 citations into it
• Optimization & Training — 6 citations into it

Whom Christopher Briggs trusts overall

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

1. Yann LeCun
2. H. Brendan McMahan
3. Virginia Smith
4. Daniel Povey
5. Ryan T. McDonald
6. Felix Sattler
7. Yoshua Bengio
8. Anit Kumar Sahu
9. L. Eon Bottou
10. Tian Li

Who trusts Christopher Briggs overall

1. Omar Abdel Wahab
2. Azzam Mourad

Papers from Christopher Briggs's perspective

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

1. Gradient-based learning applied to document recognition
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Federated learning with hierarchical clustering of local updates to improve training on non-IID data (2020) — 767 citations