Wee Sun Lee

Artificial Intelligence · with Hsu · 2023

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Reinforcement Learning — 17 citations into it
• Large Language Models — 13 citations into it
• Natural Language Processing — 8 citations into it
• Prompting & Reasoning — 5 citations into it

Whom Wee Sun Lee trusts overall

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

1. Rémi Coulom
2. Christopher D. Rosin
3. Xavier Puig
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Diederik P. Kingma
7. Wenlong Huang
8. Alex Krizhevsky
9. Kaiming He
10. Levente Kocsis

Papers from Wee Sun Lee's perspective

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

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

Their papers

• Large Language Models as Commonsense Knowledge for Large-Scale Task Planning (2023) — 397 citations