Debora Nozza

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 6 papers; trusts 51 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 112 citations into it; #12,481 of 35,345 by trust here, #8,007 by citations
• Natural Language Processing — 93 citations into it; #2,740 of 5,688 by trust here, #2,045 by citations
• Safety, Robustness & Interpretability — 89 citations into it; #884 of 2,251 by trust here, #743 by citations
• Computer Vision and Pattern Recognition — 17 citations into it
• General Social Sciences — 13 citations into it
• Sociology and Political Science — 10 citations into it
• AI Ethics, Fairness & Society — 9 citations into it
• Evaluation & Benchmarks — 8 citations into it

Whom Debora Nozza trusts overall

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

1. Dirk Hovy
2. Lucas Dixon
3. Geoffrey E. Hinton
4. Federico Bianchi
5. Yoshua Bengio
6. Diederik P. Kingma
7. Zeerak Talat
8. Ilya Sutskever
9. Emily M. Bender
10. Svetlana Kiritchenko

Who trusts Debora Nozza overall

1. Federico Bianchi
2. Dirk Hovy
3. Emily Dinan
4. Gavin Abercrombie
5. A. S. Bergman
6. Paul Röttger
7. Sachin Kumar
8. Anne Lauscher
9. Eric Michael Smith
10. Oguzhan Gencoglu

Papers from Debora Nozza's perspective

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

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

Their papers

• HONEST: Measuring Hurtful Sentence Completion in Language Models (2021) — 194 citations
• SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter (2019) — 1,079 citations
• Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals (2022) — 73 citations
• Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale (2022) — 535 citations
• Pipelines for Social Bias Testing of Large Language Models (2022)
• Unintended Bias in Misogyny Detection (2019) — 87 citations