Ahmet Üstün

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 92 citations into it; #23,109 of 35,345 by trust here, #19,873 by citations
• Natural Language Processing — 50 citations into it; #3,883 of 5,688 by trust here, #4,361 by citations
• Computer Vision and Pattern Recognition — 33 citations into it
• Large Language Models — 32 citations into it
• Model Architectures — 7 citations into it

Whom Ahmet Üstün trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Ilya Sutskever
6. Dan Hendrycks
7. Jacob Devlin
8. Kaiming He
9. Yann LeCun
10. Noam Shazeer

Who trusts Ahmet Üstün overall

1. Qinyuan Ye
2. Jonas Pfeiffer
3. Rabeeh Karimi Mahabadi
4. Xiang Ren
5. Sebastian Ruder
6. Alan Ansell
7. Ivan Vulic
8. Andreas Ruckl'e

Papers from Ahmet Üstün's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• UDapter: Language Adaptation for Truly Universal Dependency Parsing (2020) — 127 citations
• Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model (2024) — 385 citations