Stefan Hegselmann
Artificial Intelligence · 2022
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 72 citations into it
- Prompting & Reasoning — 21 citations into it
- Natural Language Processing — 19 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it
- Molecular Biology — 16 citations into it
Whom Stefan Hegselmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jacob Devlin
- Vadim Borisov
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Tomas Mikolov
- Kenton C. T. Lee
- Alex Krizhevsky
- Yann LeCun
Who trusts Stefan Hegselmann overall
Papers from Stefan Hegselmann's perspective
Ordered by how strongly the researchers Stefan Hegselmann 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
- 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Large language models are few-shot clinical information extractors (2022) — 516 citations
- TabLLM: Few-shot Classification of Tabular Data with Large Language Models (2022) — 405 citations