Saverio Salzo
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 32 citations into it; #19,819 of 35,345 by trust here, #12,761 by citations
- Optimization & Training — 21 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it; #12,376 of 21,575 by trust here, #8,831 by citations
- Representation & Self-Supervised Learning — 13 citations into it
- Mathematical Optimization — 8 citations into it; #304 of 422 by trust here, #170 by citations
Whom Saverio Salzo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marco Cuturi
- G. Peyr'e
- Francis R. Bach
- Yoshua Bengio
- Aude Genevay
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Alex Krizhevsky
- Simon Lacoste-Julien
Who trusts Saverio Salzo overall
Papers from Saverio Salzo's perspective
Ordered by how strongly the researchers Saverio Salzo trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Bilevel Programming for Hyperparameter Optimization and Meta-Learning (2018) — 888 citations
- Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm (2019) — 71 citations