Alexandra Vtyurina
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it; #25,916 of 35,345 by trust here, #26,682 by citations
- Information Retrieval & Search — 27 citations into it; #797 of 1,022 by trust here, #966 by citations
- Information Systems — 27 citations into it; #5,899 of 8,771 by trust here, #6,195 by citations
- Evaluation & Benchmarks — 17 citations into it; #2,419 of 3,147 by trust here, #3,037 by citations
- Management Science and Operations Research — 8 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Alexandra Vtyurina trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nick Craswell
- Ellen M. Voorhees
- C. Burges
- Rodrigo Nogueira
- Emine Yilmaz
- Bhaskar Mitra
- Olivier Chapelle
- Tetsuya Sakai
- Jimmy J. Lin
- William Webber
Who trusts Alexandra Vtyurina overall
Papers from Alexandra Vtyurina's perspective
Ordered by how strongly the researchers Alexandra Vtyurina trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Shallow pooling for sparse labels (2021) — 56 citations
- Assessing Top- Preferences (2020) — 34 citations