Noah Lee

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Alignment & RLHF — 10 citations into it

Whom Noah Lee trusts overall

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

1. John Schulman
2. Geoffrey E. Hinton
3. Leo Gao
4. Nisan Stiennon
5. Yoshua Bengio
6. Diederik P. Kingma
7. Alec Radford
8. Alex Krizhevsky
9. Samyam Rajbhandari
10. Daniel M. Ziegler

Who trusts Noah Lee overall

1. Yaowei Zheng

Papers from Noah Lee's perspective

Ordered by how strongly the researchers Noah 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
6. Long Short-Term Memory
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Proximal Policy Optimization Algorithms (arXiv.org)
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• ORPO: Monolithic Preference Optimization without Reference Model (2024) — 640 citations