Madeleine van Zuylen
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 5 papers; trusts 44 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 82 citations into it; #15,209 of 35,345 by trust here, #7,728 by citations
- Natural Language Processing — 56 citations into it; #2,848 of 5,688 by trust here, #2,156 by citations
- Evaluation & Benchmarks — 22 citations into it
- Large Language Models — 14 citations into it
- Statistics and Probability — 12 citations into it
- Model Architectures — 8 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Information Systems — 6 citations into it
Whom Madeleine van Zuylen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Sepp Hochreiter
- Yoshua Bengio
- Matthew D. Zeiler
- Iz Beltagy
- Alex Krizhevsky
- Yann LeCun
- Ilya Sutskever
- J. Urgen Schmidhuber
Who trusts Madeleine van Zuylen overall
Papers from Madeleine van Zuylen's perspective
Ordered by how strongly the researchers Madeleine van Zuylen trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Fact or Fiction: Verifying Scientific Claims (2020) — 755 citations
- Construction of the Literature Graph in Semantic Scholar (2018) — 442 citations
- Structural Scaffolds for Citation Intent Classification in Scientific Publications (2019) — 311 citations
- A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications (2018) — 282 citations
- MSˆ2: Multi-Document Summarization of Medical Studies (2021) — 147 citations