Christian Reuter

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 2 papers; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 101 citations into it
• Natural Language Processing — 67 citations into it
• Computer Vision and Pattern Recognition — 42 citations into it
• Safety, Robustness & Interpretability — 16 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Evaluation & Benchmarks — 8 citations into it

Whom Christian Reuter trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Yann LeCun
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Ilya Sutskever
7. Kaiming He
8. Alex Graves
9. Ruslan Salakhutdinov
10. Jimmy Ba

Papers from Christian Reuter's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Technical Limitations for Designing Applications for Social Media (2014) — 35 citations
• A Survey on Data Augmentation for Text Classification (2021) — 478 citations