Tatiana Shavrina
Artificial Intelligence · 2022
A researcher in the Science corpus: 4 papers; trusts 66 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 224 citations into it
- Natural Language Processing — 140 citations into it
- Large Language Models — 92 citations into it
- Evaluation & Benchmarks — 62 citations into it
- Computer Vision and Pattern Recognition — 58 citations into it
- Safety, Robustness & Interpretability — 27 citations into it
- Representation & Self-Supervised Learning — 21 citations into it
- General Social Sciences — 9 citations into it
Whom Tatiana Shavrina trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexis Conneau
- Christopher D. Manning
- Jacob Devlin
- Geoffrey E. Hinton
- Yoshua Bengio
- Yonatan Belinkov
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Tomas Mikolov
Papers from Tatiana Shavrina's perspective
Ordered by how strongly the researchers Tatiana Shavrina trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- mGPT: Few-Shot Learners Go Multilingual (2022) — 209 citations
- Is neural language acquisition similar to natural? A chronological probing study (2022) — 4 citations
- Universal and Independent: Multilingual Probing Framework for Exhaustive Model Interpretation and Evaluation (2022) — 4 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations