Mario Manzo

Graph Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Graph Learning — 12 citations into it
• Artificial Intelligence — 11 citations into it; #28,685 of 35,345 by trust here, #24,417 by citations
• Computer Vision and Pattern Recognition — 9 citations into it; #17,746 of 21,575 by trust here, #15,955 by citations

Whom Mario Manzo trusts overall

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

1. Sepp Hochreiter
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Yann LeCun
5. Thomas Kipf
6. Diederik P. Kingma
7. J. Urgen Schmidhuber
8. Max Welling
9. Kyunghyun Cho
10. David G. Lowe

Who trusts Mario Manzo overall

1. Yaoman Li

Papers from Mario Manzo's perspective

Ordered by how strongly the researchers Mario Manzo 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Dynamic Graph Convolutional Networks (2017) — 468 citations