Steffen Zeiler

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it

Whom Steffen Zeiler trusts overall

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

1. Geoffrey E. Hinton
2. Nicholas Carlini
3. Gonzalo Navarro
4. Nicolas Papernot
5. Yoshua Bengio
6. Ian J. Goodfellow

Papers from Steffen Zeiler's perspective

Ordered by how strongly the researchers Steffen Zeiler 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. Distilling the Knowledge in a Neural Network (arXiv.org)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Explaining and Harnessing Adversarial Examples
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Features and Detectability of German Texts Generated with Large Language Models (2024)
• Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding (2018) — 322 citations