Matilde Padovano

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Graph Learning — 12 citations into it
• Model Architectures — 11 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Matilde Padovano trusts overall

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

1. Ilya Sutskever
2. Diederik P. Kingma
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Oriol Vinyals
6. Sepp Hochreiter
7. Alex Graves
8. Jiaxuan You
9. J. Urgen Schmidhuber
10. Alex Krizhevsky

Papers from Matilde Padovano's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Neural Execution of Graph Algorithms (2019) — 201 citations