Shang-Yu Su

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #27,730 of 35,345 by trust here, #23,731 by citations
• Computer Vision and Pattern Recognition — 14 citations into it; #17,099 of 21,575 by trust here, #15,529 by citations
• Natural Language Processing — 11 citations into it; #4,586 of 5,688 by trust here, #4,449 by citations
• Meta & Continual Learning — 8 citations into it; #868 of 1,041 by trust here, #848 by citations

Whom Shang-Yu Su trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Ilya Sutskever
5. Oriol Vinyals
6. Alex Krizhevsky
7. Yoon Kim
8. Yann LeCun
9. Alec Radford
10. Kaiming He

Who trusts Shang-Yu Su overall

1. Zixuan Ke
2. Yanzhe Zhang

Papers from Shang-Yu Su's perspective

Ordered by how strongly the researchers Shang-Yu Su trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Lifelong Language Knowledge Distillation (2020) — 57 citations