Rebekah Tromble
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 91 citations into it; #28,412 of 35,345 by trust here, #14,181 by citations
- Natural Language Processing — 72 citations into it; #5,280 of 5,688 by trust here, #3,421 by citations
- Safety, Robustness & Interpretability — 49 citations into it; #2,067 of 2,251 by trust here, #1,454 by citations
- Information Systems — 30 citations into it; #6,657 of 8,771 by trust here, #2,406 by citations
- AI Ethics, Fairness & Society — 21 citations into it
- Evaluation & Benchmarks — 14 citations into it
Whom Rebekah Tromble trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Rebekah Tromble overall
Papers from Rebekah Tromble's perspective
Ordered by how strongly the researchers Rebekah Tromble trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
- Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- A Survey on Hate Speech Detection using Natural Language Processing
- Decoupled Weight Decay Regularization
- ImageNet classification with deep convolutional neural networks
- Abusive Language Detection in Online User Content
- Long Short-Term Memory
Their papers
- Challenges and frontiers in abusive content detection (2019) — 249 citations
- Detecting East Asian Prejudice on Social Media (2020) — 115 citations
- Introducing CAD: the Contextual Abuse Dataset (2021) — 136 citations