César Sabater

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Privacy & Security — 28 citations into it
• Federated & Distributed Learning — 9 citations into it
• Safety, Robustness & Interpretability — 9 citations into it

Whom César Sabater trusts overall

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

1. Torben P. Pedersen
2. Sebastian U. Stich
3. Cynthia Dwork
4. Anthony Dewayne Hunt
5. Jan Camenisch
6. H. Brendan McMahan
7. Peter Kairouz
8. Amos Fiat
9. David Chaum
10. Borja Balle

Who trusts César Sabater overall

1. Edwige Cyffers

Papers from César Sabater's perspective

Ordered by how strongly the researchers César Sabater 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. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties (2020) — 26 citations