Marina Fomicheva

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Natural Language Processing — 30 citations into it
• Evaluation & Benchmarks — 19 citations into it

Whom Marina Fomicheva trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Yvette Graham
4. Ilya Sutskever
5. Yoshua Bengio
6. Philipp Koehn
7. David John Cameron MacKay
8. Alex Krizhevsky
9. Myle Ott
10. Diederik P. Kingma

Who trusts Marina Fomicheva overall

1. Dan Friedman
2. Lorenz Kuhn
3. Adji Bousso Dieng

Papers from Marina Fomicheva's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
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

• Unsupervised Quality Estimation for Neural Machine Translation (2020) — 310 citations