Jonas Kuhn
Artificial Intelligence · 2014–2020
A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it; #9,107 of 35,345 by trust here, #20,836 by citations
- Natural Language Processing — 25 citations into it; #1,859 of 5,688 by trust here, #4,032 by citations
- Computer Vision and Pattern Recognition — 5 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Jonas Kuhn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael Collins
- Xiaoqiang Luo
- Bernd Bohnet
- Shane Bergsma
- Greg Durrett
- Kai-Wei Chang
- David Yarowsky
- Vincent Ng
- Koby Crammer
- Liang Huang
Who trusts Jonas Kuhn overall
- Kevin Clark
- Sam Wiseman
- Christopher D. Manning
- Greg Durrett
- Alexander M. Rush
- Rachel Rudinger
- Daniel Klein
Papers from Jonas Kuhn's perspective
Ordered by how strongly the researchers Jonas Kuhn 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
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Gradient-based learning applied to document recognition
- 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)