Marzia Polito

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it
• Optimization & Training — 13 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Privacy & Security — 6 citations into it
• Model Architectures — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Marzia Polito trusts overall

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

1. Alex Krizhevsky
2. Aditya Golatkar
3. Cynthia Dwork
4. Alessandro Achille
5. Diederik P. Kingma
6. Geoffrey E. Hinton
7. Kaiming He
8. James Martens
9. Yoshua Bengio
10. Yann LeCun

Papers from Marzia Polito's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Mixed-Privacy Forgetting in Deep Networks (2020) — 233 citations
• LQF: Linear Quadratic Fine-Tuning (2020) — 33 citations