Franco Manessi

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; #28,684 of 35,345 by trust here, #24,417 by citations
• Computer Vision and Pattern Recognition — 9 citations into it; #17,745 of 21,575 by trust here, #15,955 by citations

Whom Franco Manessi trusts overall

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

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

Who trusts Franco Manessi overall

1. Yaoman Li
2. Seyed Mehran Kazemi
3. Emanuele Rossi
4. Irwin King
5. Rishab Goel
6. Benjamin Paul Chamberlain

Papers from Franco Manessi's perspective

Ordered by how strongly the researchers Franco Manessi 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Dynamic Graph Convolutional Networks (2017) — 468 citations