Lukas Wutschitz

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 64 citations into it
• Safety, Robustness & Interpretability — 22 citations into it
• Natural Language Processing — 21 citations into it

Whom Lukas Wutschitz trusts overall

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

1. Cynthia Dwork
2. Ken Lang
3. Sepp Hochreiter
4. Jacob Devlin
5. Geoffrey E. Hinton
6. Alec Radford
7. Yoshua Bengio
8. Ilya Sutskever
9. Alex Krizhevsky
10. J. Urgen Schmidhuber

Papers from Lukas Wutschitz's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Learning Multiple Layers of Features from Tiny Images
10. Language Models are Unsupervised Multitask Learners

Their papers

• Analyzing Information Leakage of Updates to Natural Language Models (2019) — 147 citations
• Analyzing Leakage of Personally Identifiable Information in Language Models (2023) — 411 citations