Matthias Samwald
Artificial Intelligence · 2007–2022
A researcher in the Science corpus: 5 papers; trusts 34 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 145 citations into it; #20,672 of 35,345 by trust here, #21,316 by citations
- Natural Language Processing — 95 citations into it
- Large Language Models — 53 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- General Social Sciences — 6 citations into it
Whom Matthias Samwald trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- George A. Miller
- Jacob Devlin
- Nils Reimers
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Tal Linzen
- Ilya Sutskever
- Alexis Conneau
- Alex Krizhevsky
Who trusts Matthias Samwald overall
Papers from Matthias Samwald's perspective
Ordered by how strongly the researchers Matthias Samwald trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- BioPAX – A community standard for pathway data sharing (2010) — 695 citations
- Advancing translational research with the Semantic Web (2007) — 357 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations
- Evaluating the Robustness of Neural Language Models to Input Perturbations (2021) — 142 citations
- Exploring the Application of Deep Learning Techniques on Medical Text Corpora (2014) — 93 citations