Holger Ulmer

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #20,715 of 35,345 by trust here, #23,731 by citations
• Safety, Robustness & Interpretability — 16 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Holger Ulmer trusts overall

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

1. Alex Krizhevsky
2. Nicolas Papernot
3. Ian J. Goodfellow
4. Yehuda Koren
5. Christian Szegedy
6. Geoffrey E. Hinton

Who trusts Holger Ulmer overall

1. David Stutz

Papers from Holger Ulmer's perspective

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

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

Their papers

• Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks (2017) — 149 citations