Markus Eberts

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Natural Language Processing — 17 citations into it
• Large Language Models — 7 citations into it
• Molecular Biology — 5 citations into it

Whom Markus Eberts trusts overall

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

1. Yi Luan
2. Dongxu Zhang
3. Dzmitry Bahdanau
4. Yoshua Bengio
5. Richard Socher
6. Geoffrey E. Hinton
7. Jacob Devlin
8. Rico Sennrich
9. Kenton C. T. Lee
10. Diederik P. Kingma

Who trusts Markus Eberts overall

1. Giovanni Paolini
2. Ben Athiwaratkun

Papers from Markus Eberts's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
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

• Span-based Joint Entity and Relation Extraction with Transformer Pre-training (2019) — 479 citations