Harrison Lee

Artificial Intelligence · 2023

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 73 citations into it
• Reinforcement Learning — 20 citations into it

Whom Harrison Lee trusts overall

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

1. Ronald J. Williams
2. Jason Wei
3. Geoffrey E. Hinton
4. Richard S. Sutton
5. John Schulman
6. Yoshua Bengio
7. Diederik P. Kingma
8. Xuezhi Wang
9. Noam Shazeer
10. Alex Krizhevsky

Who trusts Harrison Lee overall

1. Shervin Minaee
2. Ganqu Cui
3. Xiaohan Xu
4. Lichang Chen
5. Bram Wallace
6. Collin Burns

Papers from Harrison Lee's perspective

Ordered by how strongly the researchers Harrison Lee 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. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback (2023) — 683 citations
• RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback (2023) — 404 citations