Anjalie Field

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 5 papers; trusts 131 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 126 citations into it; #14,463 of 35,345 by trust here, #13,962 by citations
• Natural Language Processing — 108 citations into it; #2,672 of 5,688 by trust here, #2,955 by citations
• Safety, Robustness & Interpretability — 95 citations into it; #969 of 2,251 by trust here, #1,220 by citations
• Sociology and Political Science — 29 citations into it
• Communication — 19 citations into it
• AI Ethics, Fairness & Society — 16 citations into it
• General Social Sciences — 15 citations into it
• Social Psychology — 12 citations into it

Whom Anjalie Field trusts overall

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

1. Jieyu Zhao
2. Maarten Sap
3. Elizabeth A. Stuart
4. Saif M. Mohammad
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Su Lin Blodgett
8. Diederik P. Kingma
9. Individualized Treat
10. Ilya Sutskever

Who trusts Anjalie Field overall

1. Sachin Kumar
2. Yulia Tsvetkov
3. Vered Shwartz
4. Julia Mendelsohn
5. Vidhisha Balachandran
6. Lucille Njoo
7. Rachel Rudinger
8. Debora Nozza
9. Keita Kurita
10. Eric Malmi

Papers from Anjalie Field's perspective

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

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

Their papers

• Demoting Racial Bias in Hate Speech Detection (2020) — 140 citations
• A Survey of Race, Racism, and Anti-Racism in NLP (2021) — 151 citations
• Gendered Mental Health Stigma in Masked Language Models (2022) — 35 citations
• Unsupervised Discovery of Implicit Gender Bias (2020) — 55 citations
• Entity-Centric Contextual Affective Analysis (2019) — 34 citations