Jo Chuang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Computer Vision and Pattern Recognition — 31 citations into it
• Reinforcement Learning — 16 citations into it
• Optimization & Training — 6 citations into it

Whom Jo Chuang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Jimmy Ba
4. Ruslan Salakhutdinov
5. Devendra Singh Chaplot
6. Kaiming He
7. Alex Krizhevsky
8. Yoshua Bengio
9. Yann LeCun
10. Ilya Sutskever

Papers from Jo Chuang's perspective

Ordered by how strongly the researchers Jo Chuang 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. Long Short-Term Memory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Topological Planning with Transformers for Vision-and-Language Navigation (2020) — 174 citations