Lucille Njoo

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 68 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 211 citations into it
• Natural Language Processing — 160 citations into it
• Safety, Robustness & Interpretability — 94 citations into it
• Computer Vision and Pattern Recognition — 37 citations into it
• Communication — 12 citations into it
• Gender Studies — 5 citations into it

Whom Lucille Njoo trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Ilya Sutskever
5. Alex Krizhevsky
6. Alex Graves
7. Yann LeCun
8. Jacob Devlin
9. Kaiming He
10. Richard Socher

Papers from Lucille Njoo's perspective

Ordered by how strongly the researchers Lucille Njoo 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. Long Short-Term Memory
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. ImageNet classification with deep convolutional neural networks
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey (2022) — 119 citations
• Gendered Mental Health Stigma in Masked Language Models (2022) — 35 citations