Anna Sotnikova

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Natural Language Processing — 28 citations into it
• Safety, Robustness & Interpretability — 26 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Anna Sotnikova trusts overall

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

1. Samuel R. Bowman
2. Adina Williams
3. Su Lin Blodgett
4. Nikita Nangia
5. Geoffrey E. Hinton
6. Rachel Rudinger
7. Jacob Devlin
8. Yoshua Bengio
9. Dirk Hovy
10. Diederik P. Kingma

Who trusts Anna Sotnikova overall

1. Yang Trista Cao

Papers from Anna Sotnikova's perspective

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

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

Their papers

• Analyzing Stereotypes in Generative Text Inference Tasks (2021) — 22 citations
• Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models (2022) — 63 citations