Michael R. Sprague

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Privacy & Security — 6 citations into it

Whom Michael R. Sprague trusts overall

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

1. John F. Canny

Papers from Michael R. Sprague's perspective

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

1. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Deep Learning with Differential Privacy
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. Communication-Efficient Learning of Deep Networks from Decentralized Data
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Simple and Efficient Federated Recommender System (2019) — 73 citations