Jun Quan

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Natural Language Processing — 14 citations into it

Whom Jun Quan trusts overall

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

1. John Wieting
2. Diederik P. Kingma
3. Steven Bird
4. Tsung-Hsien Wen
5. Rico Sennrich
6. Jimmy Ba
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Kevin Gimpel
10. Mihail Eric

Papers from Jun Quan's perspective

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

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

Their papers

• Effective Data Augmentation Approaches to End-to-End Task-Oriented Dialogue (2019) — 19 citations