Mayee F. Chen

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Natural Language Processing — 21 citations into it
• Evaluation & Benchmarks — 14 citations into it

Whom Mayee F. Chen trusts overall

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

1. Chin-Yew Lin
2. Geoffrey E. Hinton
3. Yann LeCun
4. Yoshua Bengio
5. Richard Socher
6. Diederik P. Kingma
7. Ilya Sutskever
8. Alex Krizhevsky

Papers from Mayee F. Chen's perspective

Ordered by how strongly the researchers Mayee F. Chen 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. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Gradient-based learning applied to document recognition
8. Language Models are Few-Shot Learners (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Ask Me Anything: A simple strategy for prompting language models (2022) — 275 citations