Pavel Petrushkov

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Natural Language Processing — 31 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Pavel Petrushkov trusts overall

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

1. Ilya Sutskever
2. Maja Popovic
3. Dzmitry Bahdanau
4. Rico Sennrich
5. Matthew G. Snover
6. Yoshua Bengio
7. Diederik P. Kingma
8. Geoffrey E. Hinton
9. Kyunghyun Cho
10. Minh-Thang Luong

Papers from Pavel Petrushkov's perspective

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

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

Their papers

• Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages (2019) — 94 citations
• Learning from Chunk-based Feedback in Neural Machine Translation (2018) — 19 citations