Mai Elsherief
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 7 papers; trusts 62 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 167 citations into it; #16,557 of 35,345 by trust here, #5,424 by citations
- Natural Language Processing — 132 citations into it; #3,567 of 5,688 by trust here, #1,407 by citations
- Safety, Robustness & Interpretability — 88 citations into it; #1,374 of 2,251 by trust here, #464 by citations
- Information Systems — 31 citations into it
- Communication — 28 citations into it
- Sociology and Political Science — 19 citations into it
- AI Ethics, Fairness & Society — 17 citations into it
- Law — 10 citations into it
Whom Mai Elsherief trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zeerak Talat
- Yoon Kim
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ronald J. Williams
- Yoshua Bengio
- Richard Socher
- Chin-Yew Lin
- Ilya Sutskever
- Alex Krizhevsky
Who trusts Mai Elsherief overall
- Fan Huang
- Binny Mathew
- Prashanth Vijayaraghavan
- Jing Qian
- Haewoon Kwak
- Saghar Hosseini
- Jisun An
- Caleb Ziems
- Hamid Palangi
- Thomas Hartvigsen
Papers from Mai Elsherief's perspective
Ordered by how strongly the researchers Mai Elsherief trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Mitigating Gender Bias in Natural Language Processing: Literature Review (2019) — 648 citations
- Towards Understanding Gender Bias in Relation Extraction (2019) — 44 citations
- Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media (2018) — 346 citations
- Lifelong Learning of Hate Speech Classification on Social Media (2021) — 27 citations
- Latent Hatred: A Benchmark for Understanding Implicit Hate Speech (2021) — 377 citations
- Hierarchical CVAE for Fine-Grained Hate Speech Classification (2018) — 47 citations
- Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection (2018) — 93 citations