Andrew Lee

Artificial Intelligence · with Clarke · 2019–2023

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Natural Language Processing — 22 citations into it
• Safety, Robustness & Interpretability — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Andrew Lee trusts overall

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

1. Alec Radford
2. Tomas Mikolov
3. Kenneth Li
4. Ilya Sutskever
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ashish Vaswani
9. Alex Krizhevsky
10. R. Thomas McCoy

Papers from Andrew Lee's perspective

Ordered by how strongly the researchers Andrew Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Language Models are Unsupervised Multitask Learners
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction (2019) — 648 citations
• Emergent Linear Representations in World Models of Self-Supervised Sequence Models (2023) — 353 citations