Bertie Vidgen
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 11 papers; trusts 144 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 373 citations into it; #11,049 of 35,345 by trust here, #5,458 by citations
- Natural Language Processing — 288 citations into it; #1,717 of 5,688 by trust here, #1,377 by citations
- Safety, Robustness & Interpretability — 176 citations into it; #621 of 2,251 by trust here, #768 by citations
- Information Systems — 98 citations into it; #8,357 of 8,771 by trust here, #1,867 by citations
- Communication — 85 citations into it; #1,944 of 3,460 by trust here, #1,817 by citations
- Evaluation & Benchmarks — 80 citations into it
- AI Ethics, Fairness & Society — 65 citations into it
- Sociology and Political Science — 45 citations into it; #18,073 of 22,756 by trust here, #5,938 by citations
Whom Bertie Vidgen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zeerak Talat
- Thomas Davidson
- Emily M. Bender
- Paula Fortuna
- Michael Wiegand
- Dirk Hovy
- Marcos Zampieri
- Anna Schmidt
- Joni O. Salminen
- Geoffrey E. Hinton
Who trusts Bertie Vidgen overall
- Svetlana Kiritchenko
- Isar Nejadgholi
- Paul Röttger
- Tristan Thrush
- Endang Wahyu Pamungkas
- Douwe Kiela
- Zeerak Talat
- Helena Bonaldi
- Jisun An
- Emily Dinan
Papers from Bertie Vidgen's perspective
Ordered by how strongly the researchers Bertie Vidgen 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- GloVe: Global Vectors for Word Representation
Their papers
- Dynabench: Rethinking Benchmarking in NLP (2021) — 580 citations
- Challenges and frontiers in abusive content detection (2019) — 249 citations
- Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection (2021) — 368 citations
- Detecting East Asian Prejudice on Social Media (2020) — 115 citations
- XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models (2023) — 447 citations
- Detecting weak and strong Islamophobic hate speech on social media (2018) — 161 citations
- Introducing CAD: the Contextual Abuse Dataset (2021) — 136 citations
- Directions in Abusive Language Training Data: Garbage In, Garbage Out (2020) — 75 citations
- Directions in abusive language training data, a systematic review: Garbage in, garbage out (2020) — 357 citations
- Online Abuse and Human Rights: WOAH Satellite Session at RightsCon 2020 (2020) — 11 citations
- Recalibrating classifiers for interpretable abusive content detection (2020) — 13 citations