Violeta Beleva Guthrie

Artificial Intelligence · 2013–2017

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it

Whom Violeta Beleva Guthrie trusts overall

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

1. Geoffrey E. Hinton

Papers from Violeta Beleva Guthrie's perspective

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

1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Dropout: a simple way to prevent neural networks from overfitting
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Exome sequencing identifies frequent inactivating mutations in BAP1, ARID1A and PBRM1 in intrahepatic cholangiocarcinomas (2013) — 628 citations
• Evaluation of machine learning methods to predict peptide binding to MHC Class I proteins (2017) — 35 citations
• Evolution of neoantigen landscape during immune checkpoint blockade in non-small cell lung cancer (2016) — 766 citations