Tim Polzehl
Artificial Intelligence · 2015–2021
A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it; #20,594 of 35,345 by trust here, #28,481 by citations
- Evaluation & Benchmarks — 32 citations into it
- Natural Language Processing — 29 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Computer Science Applications — 9 citations into it
- Statistics and Probability — 5 citations into it
Whom Tim Polzehl trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chin-Yew Lin
- Gy Zou
- Hoa Trang Dang
- Oleg V. Vasilyev
- Ulf-Dietrich Reips
- Ani Nenkova
- Alexander R. Fabbri
- Tobias Hossfeld
- Thibault Sellam
- Jacopo Amidei
Who trusts Tim Polzehl overall
Papers from Tim Polzehl's perspective
Ordered by how strongly the researchers Tim Polzehl trusts endorse each paper. Same corpus, a different order for every researcher.
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
Their papers
- Effect of trapping questions on the reliability of speech quality judgments in a crowdsourcing paradigm (2015) — 40 citations
- Robustness in speech quality assessment and temporal training expiry in mobile crowdsourcing environments (2015) — 17 citations
- Does Summary Evaluation Survive Translation to Other Languages? (2021) — 5 citations
- Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation (2020) — 18 citations