Yuri Kuratov

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 69 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it; #28,763 of 35,345 by trust here, #22,463 by citations
• Model Architectures — 26 citations into it; #1,863 of 2,278 by trust here, #2,078 by citations
• Natural Language Processing — 20 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it; #17,783 of 21,575 by trust here, #18,266 by citations
• Large Language Models — 6 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Yuri Kuratov trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Ashish Vaswani
4. Jacob Devlin
5. Diederik P. Kingma
6. Sepp Hochreiter
7. Rico Sennrich
8. Kyunghyun Cho
9. Alex Graves
10. Ilya Sutskever

Who trusts Yuri Kuratov overall

1. Phillip Rust
2. J. Cañete
3. Amirkeivan Mohtashami
4. Jonas Pfeiffer
5. Gabriel Chaperon
6. A. Chevalier

Papers from Yuri Kuratov's perspective

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

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

Their papers

• Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language (2019) — 326 citations
• Recurrent Memory Transformer (2022) — 205 citations