Hendrik Schuff
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it; #23,841 of 35,345 by trust here, #32,362 by citations
- Natural Language Processing — 21 citations into it; #3,988 of 5,688 by trust here, #5,412 by citations
- Computer Vision and Pattern Recognition — 10 citations into it; #14,787 of 21,575 by trust here, #20,271 by citations
- Safety, Robustness & Interpretability — 7 citations into it
Whom Hendrik Schuff trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher Clark
- Peng Qi
- Brian Y. Lim
- Yoshua Bengio
- Geoffrey E. Hinton
- Zhilin Yang
- Diederik P. Kingma
- Nan Shao
- Karen Simonyan
- Alex Krizhevsky
Who trusts Hendrik Schuff overall
Papers from Hendrik Schuff's perspective
Ordered by how strongly the researchers Hendrik Schuff trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)