Martin Schmitt
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it; #18,603 of 35,345 by trust here, #22,463 by citations
- Natural Language Processing — 34 citations into it; #3,204 of 5,688 by trust here, #4,250 by citations
- Natural Language Generation — 12 citations into it
- Evaluation & Benchmarks — 10 citations into it
Whom Martin Schmitt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leonardo F. R. Ribeiro
- Geoffrey E. Hinton
- Diederik P. Kingma
- Maja Popovic
- Yoshua Bengio
- Mihir Kale
- Claire Gardent
- Ilya Sutskever
- Jacob Devlin
- Alec Radford
Who trusts Martin Schmitt overall
Papers from Martin Schmitt's perspective
Ordered by how strongly the researchers Martin Schmitt trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- ImageNet classification with deep convolutional neural networks
- 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)
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Gradient-based learning applied to document recognition
Their papers
- Investigating Pretrained Language Models for Graph-to-Text Generation (2020) — 233 citations