Xiaojie Yuan

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Artificial Intelligence — 25 citations into it
• Natural Language Processing — 12 citations into it
• Model Architectures — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Xiaojie Yuan trusts overall

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

1. Sepp Hochreiter
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Kyunghyun Cho
5. Yoshua Bengio
6. Kaiming He
7. Alex Krizhevsky
8. J. Urgen Schmidhuber
9. Sergey Ioffe
10. Jimmy Ba

Papers from Xiaojie Yuan's perspective

Ordered by how strongly the researchers Xiaojie Yuan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. GENERATIVE ADVERSARIAL NETS
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Dropout: a simple way to prevent neural networks from overfitting
10. ImageNet: A large-scale hierarchical image database

Their papers

• Improving Captioning for Low-Resource Languages by Cycle Consistency (2019) — 8 citations
• Multivariate Time Series Imputation with Generative Adversarial Networks (2018) — 534 citations