Aydar Bulatov

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it; #28,842 of 35,345 by trust here, #28,481 by citations
• Model Architectures — 23 citations into it; #1,862 of 2,278 by trust here, #2,078 by citations
• Natural Language Processing — 9 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Aydar Bulatov trusts overall

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

1. Paul J. Werbos
2. Sepp Hochreiter
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Alex Graves
6. Kyunghyun Cho
7. J. Urgen Schmidhuber
8. Diederik P. Kingma
9. Ilya Sutskever
10. Alex Krizhevsky

Who trusts Aydar Bulatov overall

1. Amirkeivan Mohtashami
2. A. Chevalier
3. Martin Jaggi
4. Bo Peng
5. Alexander Wettig

Papers from Aydar Bulatov's perspective

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

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

• Recurrent Memory Transformer (2022) — 205 citations