Anna Wegmann

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Natural Language Processing — 19 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Language and Linguistics — 5 citations into it
• Large Language Models — 5 citations into it

Whom Anna Wegmann trusts overall

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

1. J. Fleiss
2. James W. Pennebaker
3. Nils Reimers
4. Jacob Devlin
5. Kate Niederhoffer
6. Sudha Rao
7. Cristian Danescu-Niculescu-Mizil
8. Kalpesh Krishna
9. Dongyeop Kang
10. Zhaoliang Lun

Who trusts Anna Wegmann overall

1. Sebastian Gehrmann

Papers from Anna Wegmann's perspective

Ordered by how strongly the researchers Anna Wegmann 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Gradient-based learning applied to document recognition

Their papers

• Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework (2021) — 20 citations