Sangwu Lee

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Multimodal Learning — 8 citations into it

Whom Sangwu Lee trusts overall

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

1. Amir Zadeh
2. Diederik P. Kingma
3. Percy Liang
4. Geoffrey E. Hinton
5. Alec Radford
6. Yoshua Bengio
7. Jimmy Ba
8. Ilya Sutskever
9. Alex Krizhevsky
10. Louis-philippe Morency

Papers from Sangwu Lee's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. GloVe: Global Vectors for Word Representation

Their papers

• Integrating Multimodal Information in Large Pretrained Transformers (2020) — 823 citations