Martin Bringmann
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it; #22,657 of 35,345 by trust here, #13,962 by citations
- Natural Language Processing — 21 citations into it; #3,805 of 5,688 by trust here, #2,955 by citations
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Martin Bringmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Martin Bringmann overall
Papers from Martin Bringmann's perspective
Ordered by how strongly the researchers Martin Bringmann trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Training Classifiers with Natural Language Explanations (2018) — 160 citations