Marco Federici

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 22 citations into it
• Representation & Self-Supervised Learning — 16 citations into it

Whom Marco Federici trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Karen Simonyan
4. Alex Krizhevsky
5. Yoshua Bengio
6. Nitish Srivastava
7. Ruslan Salakhutdinov
8. Ilya Sutskever
9. Kaiming He
10. Andrew Zisserman

Who trusts Marco Federici overall

1. Yao-Hung Hubert Tsai
2. Hengrui Zhang
3. Xiaoqiang Yan
4. Yijie Lin

Papers from Marco Federici's perspective

Ordered by how strongly the researchers Marco Federici 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning Robust Representations via Multi-View Information Bottleneck (2020) — 345 citations