Jaap Kamps
Artificial Intelligence · 2002–2018
A researcher in the Science corpus: 6 papers; trusts 102 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 108 citations into it; #8,040 of 35,345 by trust here, #7,531 by citations
- Natural Language Processing — 58 citations into it; #2,874 of 5,688 by trust here, #2,695 by citations
- Computer Vision and Pattern Recognition — 37 citations into it
- Information Retrieval & Search — 36 citations into it; #271 of 1,022 by trust here, #252 by citations
- Information Systems — 29 citations into it; #1,509 of 8,771 by trust here, #1,086 by citations
- Representation & Self-Supervised Learning — 29 citations into it
- Optimization & Training — 14 citations into it
- Management Science and Operations Research — 10 citations into it
Whom Jaap Kamps trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Graves
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Tomas Mikolov
- Jimmy Ba
- Yann LeCun
- Kaiming He
Who trusts Jaap Kamps overall
- Janyce Wiebe
- Theresa Wilson
- Erik Boiy
- Marie-Francine Moens
- Tony Mullen
- Koen Deschacht
- Zhuang Li
- Rada Mihalcea
- Nigel Collier
- Sean MacAvaney
Papers from Jaap Kamps's perspective
Ordered by how strongly the researchers Jaap Kamps trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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)
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Fidelity-Weighted Learning (2017) — 78 citations
- Neural Ranking Models with Weak Supervision (2017) — 437 citations
- From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing (2018) — 213 citations
- Neural Ranking Models with Weak Supervision (2018)
- Words with attitude (2002) — 165 citations
- UvA-DARE (Digital Academic Repository) Learning to Transform, Combine, and Reason in Open-domain Question Answering