Maik Thiele

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Natural Language Processing — 13 citations into it
• Large Language Models — 10 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Maik Thiele trusts overall

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

1. Taku Kudo
2. Rodrigo Nogueira
3. Rico Sennrich
4. Jacob Devlin
5. Iz Beltagy
6. Kyunghyun Cho
7. Kexin Huang
8. Aditya Kanade
9. Shuai Peng
10. Geoffrey E. Hinton

Papers from Maik Thiele's perspective

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

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

Their papers

• TU_DBS in the ARQMath Lab 2021, CLEF (2021) — 11 citations