Aida Mostafazadeh Davani
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 7 papers; trusts 66 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 124 citations into it; #20,342 of 35,345 by trust here, #10,319 by citations
- Natural Language Processing — 86 citations into it; #4,464 of 5,688 by trust here, #2,955 by citations
- Safety, Robustness & Interpretability — 78 citations into it; #2,135 of 2,251 by trust here, #1,569 by citations
- Communication — 17 citations into it
- AI Ethics, Fairness & Society — 16 citations into it; #428 of 494 by trust here, #371 by citations
- Information Systems — 14 citations into it
- Sociology and Political Science — 11 citations into it; #15,300 of 22,756 by trust here, #9,840 by citations
- Evaluation & Benchmarks — 10 citations into it; #2,325 of 3,147 by trust here, #1,895 by citations
Whom Aida Mostafazadeh Davani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zeerak Talat
- Diederik P. Kingma
- Paul Ekman
- Geoffrey E. Hinton
- Jacob Devlin
- Dirk Hovy
- Jimmy Ba
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
Who trusts Aida Mostafazadeh Davani overall
Papers from Aida Mostafazadeh Davani's perspective
Ordered by how strongly the researchers Aida Mostafazadeh Davani trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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
- On Releasing Annotator-Level Labels and Information in Datasets (2021) — 191 citations
- On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning (2021) — 84 citations
- Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations (2021) — 490 citations
- Contextualizing Hate Speech Classifiers with Post-hoc Explanation (2020) — 158 citations
- Fair Hate Speech Detection through Evaluation of Social Group Counterfactuals (2020) — 8 citations
- Bound in Hatred: The role of group-based morality in acts of hate (2019)
- The Gab Hate Corpus: A collection of 27k posts annotated for hate speech (2018) — 82 citations