Robert S. Ruff

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Safety, Robustness & Interpretability — 9 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Natural Language Processing — 6 citations into it

Whom Robert S. Ruff trusts overall

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

1. Matthew D. Zeiler
2. Sepp Hochreiter
3. J. Urgen Schmidhuber
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Felix Alexander Gers
7. Rob Fergus
8. Yoshua Bengio
9. Marco Tulio Ribeiro
10. Alex Krizhevsky

Papers from Robert S. Ruff's perspective

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

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

Their papers

• Offensive Language Detection Explained (2020) — 39 citations