Victor Rühle

Natural Language Processing · 2019–2024

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 8 citations into it

Whom Victor Rühle trusts overall

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

1. Geoffrey E. Hinton

Papers from Victor Rühle's perspective

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

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

Their papers

• Analyzing Information Leakage of Updates to Natural Language Models (2019) — 147 citations
• Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing (2024) — 356 citations