Can Xu

Artificial Intelligence · with Beutel · 2018

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

Subfields

• Artificial Intelligence — 22 citations into it; #34,568 of 35,345 by trust here, #17,776 by citations
• Information Systems — 21 citations into it; #8,513 of 8,771 by trust here, #3,402 by citations
• Management Science and Operations Research — 11 citations into it
• Recommender Systems — 11 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Can Xu trusts overall

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

1. Yehuda Koren
2. Diederik P. Kingma
3. Steffen Rendle
4. Yoshua Bengio

Who trusts Can Xu overall

1. Julian McAuley

Papers from Can Xu's perspective

Ordered by how strongly the researchers Can Xu 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Generating Sequences With Recurrent Neural Networks
10. ImageNet: A large-scale hierarchical image database

Their papers

• Latent Cross: Making Use of Context in Recurrent Recommender Systems (2018) — 371 citations