Ninareh Mehrabi
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 7 papers; trusts 90 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 174 citations into it; #27,573 of 35,345 by trust here, #5,924 by citations
- Safety, Robustness & Interpretability — 115 citations into it; #1,987 of 2,251 by trust here, #514 by citations
- AI Ethics, Fairness & Society — 90 citations into it; #403 of 494 by trust here, #293 by citations
- Safety Research — 77 citations into it; #4,441 of 5,829 by trust here, #495 by citations
- Natural Language Processing — 62 citations into it
- Sociology and Political Science — 46 citations into it
- Computer Vision and Pattern Recognition — 28 citations into it
- Statistics and Probability — 27 citations into it
Whom Ninareh Mehrabi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lu Zhang
- Jieyu Zhao
- Yongkai Wu
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Alec Radford
- J. Fleiss
- Alex Krizhevsky
- Ilya Sutskever
Who trusts Ninareh Mehrabi overall
- Fred Morstatter
- Davinder Kaur
- Dana Pessach
- Pei Zhou
- Shahar Levy
- Waiman Si
- Sunipa Dev
- Steven Euijong Whang
- Ying-Cheng Lu
- Yolande A. A. Strengers
Papers from Ninareh Mehrabi's perspective
Ordered by how strongly the researchers Ninareh Mehrabi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- 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
- 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)
Their papers
- A Survey on Bias and Fairness in Machine Learning (2019) — 6,091 citations
- Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources (2021) — 47 citations
- Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition (2019) — 62 citations
- Robust Conversational Agents against Imperceptible Toxicity Triggers (2022) — 39 citations
- Attributing Fair Decisions with Attention Interventions (2021) — 23 citations
- Statistical Equity: A Fairness Classification Objective (2020) — 10 citations
- Debiasing Community Detection: The Importance of Lowly Connected Nodes (2019) — 32 citations