Kees van Deemter
Artificial Intelligence · 2006–2022
A researcher in the Science corpus: 7 papers; trusts 81 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 77 citations into it; #22,706 of 35,345 by trust here, #15,004 by citations
- Natural Language Processing — 65 citations into it; #4,559 of 5,688 by trust here, #5,593 by citations
- Evaluation & Benchmarks — 22 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Representation & Self-Supervised Learning — 20 citations into it
- Experimental and Cognitive Psychology — 11 citations into it
- Cognitive Neuroscience — 10 citations into it
- Model Architectures — 9 citations into it
Whom Kees van Deemter trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ehud Reiter
- Albert Gatt
- Anya Belz
- Emiel Krahmer
- Chin-Yew Lin
- Yoshua Bengio
- Tomas Mikolov
- Marcel Bollmann
- Geoffrey E. Hinton
- Eduard H. Hovy
Who trusts Kees van Deemter overall
- Sandro Pezzelle
- Albert Gatt
- Sahar Kazemzadeh
- Licheng Yu
- Gennady El
- Junhua Mao
- Emiel Krahmer
- Jingyu Liu
- Raquel Fernández
- Vicente Ordonez
Papers from Kees van Deemter's perspective
Ordered by how strongly the researchers Kees van Deemter trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Computational Generation of Referring Expressions: A Survey (2012) — 371 citations
- What do you mean, BERT? Assessing BERT as a Distributional Semantics Model (2019) — 49 citations
- Non-neural Models Matter: a Re-evaluation of Neural Referring Expression Generation Systems (2022) — 13 citations
- SimpleNLG-ZH: a Linguistic Realisation Engine for Mandarin (2018) — 11 citations
- Typicality and Object Reference (2013) — 33 citations
- Generating Expressions that Refer to Visible Objects (2013) — 66 citations
- Building a Semantically Transparent Corpus for the Generation of Referring Expressions. (2006) — 303 citations