Yewen Xu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Information Systems — 18 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Recommender Systems — 6 citations into it
• Model Architectures — 5 citations into it

Whom Yewen Xu trusts overall

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

1. Steffen Rendle
2. Diederik P. Kingma

Papers from Yewen Xu's perspective

Ordered by how strongly the researchers Yewen Xu 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. Dropout: a simple way to prevent neural networks from overfitting
6. ImageNet classification with deep convolutional neural networks
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. End-To-End Memory Networks
10. ImageNet: A large-scale hierarchical image database

Their papers

• AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks (2018) — 1,089 citations