Marco Scavuzzo

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 Marco Scavuzzo trusts overall

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

1. John F. Canny
2. Frank McSherry
3. H. Brendan McMahan
4. Chelsea Finn
5. Alex Nichol
6. Alex Kendall
7. F. Maxwell Harper
8. Keith Bonawitz
9. Pieter Abbeel
10. Le Trieu Phong

Papers from Marco Scavuzzo's perspective

Ordered by how strongly the researchers Marco Scavuzzo 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
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. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Their papers

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