Jannes Munchmeyer
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it; #30,175 of 35,345 by trust here, #22,463 by citations
- Natural Language Processing — 19 citations into it; #4,907 of 5,688 by trust here, #4,250 by citations
- Computer Vision and Pattern Recognition — 8 citations into it; #18,554 of 21,575 by trust here, #14,822 by citations
Whom Jannes Munchmeyer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Dirk Weissenborn
- Jimmy Ba
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Alex Krizhevsky
- Ilya Sutskever
- Minjoon Seo
- Alex Graves
Who trusts Jannes Munchmeyer overall
Papers from Jannes Munchmeyer's perspective
Ordered by how strongly the researchers Jannes Munchmeyer trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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)
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language (2019) — 107 citations
- Which Picker Fits My Data? A Quantitative Evaluation of Deep Learning Based Seismic Pickers (2021) — 170 citations