Jan Svoboda

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #7,417 of 21,575 by trust here, #3,323 by citations
• Graph Learning — 27 citations into it; #237 of 693 by trust here, #118 by citations
• Computational Mechanics — 22 citations into it; #2,566 of 10,001 by trust here, #417 by citations
• Artificial Intelligence — 21 citations into it; #10,540 of 35,345 by trust here, #4,370 by citations

Whom Jan Svoboda trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Davide Boscaini
6. Michael M. Bronstein
7. Alex Krizhevsky

Who trusts Jan Svoboda overall

1. Aleksandar Bojchevski
2. Matthias Fey
3. Michael M. Bronstein

Papers from Jan Svoboda's perspective

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

1. Gradient-based learning applied to document recognition
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs (2016) — 1,972 citations