Marco Paolieri

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Federated & Distributed Learning — 10 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Privacy & Security — 6 citations into it

Whom Marco Paolieri trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Yudong Chen
5. El Mahdi El Mhamdi
6. Diederik P. Kingma
7. Chelsea Finn
8. Yann LeCun
9. Kaiming He
10. Ilya Sutskever

Papers from Marco Paolieri's perspective

Ordered by how strongly the researchers Marco Paolieri 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. Attention is All you Need (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Backdoor Attacks on Federated Meta-Learning (2020) — 33 citations