Artem Timoshenko

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Natural Language Processing — 17 citations into it
• Marketing — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Sociology and Political Science — 5 citations into it

Whom Artem Timoshenko trusts overall

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

1. Tomas Mikolov
2. Richard Socher
3. Seshadri Tirunillai
4. Ilya Sutskever
5. Kai Sheng Tai
6. Yoshua Bengio
7. Mohit Iyyer
8. Geoffrey E. Hinton
9. Christopher D. Manning
10. Guillaume Lample

Who trusts Artem Timoshenko overall

1. Ming-Hui Huang

Papers from Artem Timoshenko's perspective

Ordered by how strongly the researchers Artem Timoshenko 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Identifying Customer Needs from User-Generated Content (2019) — 437 citations