Quan Du

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it

Whom Quan Du trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton

Papers from Quan Du's perspective

Ordered by how strongly the researchers Quan Du 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. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
6. Distilling the Knowledge in a Neural Network (arXiv.org)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Improving neural networks by preventing co-adaptation of feature detectors

Their papers

• Learning Light-Weight Translation Models from Deep Transformer (2020) — 44 citations