Katrin Tomanek
Artificial Intelligence · 2008–2023
A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 54 citations into it; #33,949 of 35,345 by trust here, #10,319 by citations
- Natural Language Processing — 37 citations into it
- Evaluation & Benchmarks — 8 citations into it
- Model Architectures — 5 citations into it
Whom Katrin Tomanek trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew McCallum
- Lawrence R. Rabiner
- Burr Settles
- David Yarowsky
- David D. Lewis
- H. Sebastian Seung
- David R. Pierce
- Arthur P. Dempster
- Ion Muslea
- John D. Lafferty
Who trusts Katrin Tomanek overall
- Burr Settles
- Wenjing Han
- Manuel Lopes
- Jonathan Pilault
- Eduardo Coutinho
- Yuji Roh
- Pierre-Yves Oudeyer
Papers from Katrin Tomanek's perspective
Ordered by how strongly the researchers Katrin Tomanek 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)
- 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
- 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
- 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
- Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling (2019) — 215 citations
- Towards Agile Text Classifiers for Everyone (2023) — 14 citations
- Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases (2021) — 15 citations
- Semi-Supervised Active Learning for Sequence Labeling (2009) — 109 citations
- Multi-Task Active Learning for Linguistic Annotations (2008) — 119 citations