Sören Becker

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Safety, Robustness & Interpretability — 11 citations into it

Whom Sören Becker trusts overall

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

1. Yann LeCun
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Ilya Sutskever
6. Yoshua Bengio
7. Grgoire Montavon
8. Wojciech Samek
9. Andrew Zisserman
10. Sebastian Bach

Who trusts Sören Becker overall

1. Wojciech Samek
2. Sebastian Lapuschkin
3. Grgoire Montavon
4. Martin Mundt
5. Leila Arras
6. K. Müller
7. Christopher J. Anders
8. Yongjun Hong

Papers from Sören Becker's perspective

Ordered by how strongly the researchers Sören Becker 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals (2018) — 152 citations