Florian Böhm

Natural Language Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 38 citations into it
• Artificial Intelligence — 33 citations into it
• Evaluation & Benchmarks — 13 citations into it

Whom Florian Böhm trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Chin-Yew Lin
2. Yang Gao
3. Richard Socher
4. Yoon Kim
5. Geoffrey E. Hinton
6. Christopher D. Manning
7. Yoshua Bengio
8. Julia Kreutzer
9. Diederik P. Kingma
10. Iryna Gurevych

Who trusts Florian Böhm overall

1. Jeff Wu
2. Long Ouyang
3. Yang Gao
4. WonJin Yoon
5. Nisan Stiennon
6. Wei Zhao
7. Jiazheng Xu
8. Daniel M. Ziegler

Papers from Florian Böhm's perspective

Ordered by how strongly the researchers Florian Böhm trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Better Rewards Yield Better Summaries: Learning to Summarise Without References (2019) — 117 citations