Ke Xu

Computer Vision and Pattern Recognition · with Ba · 2015

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 1,755 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #977 of 21,575 by trust here, #482 by citations
• Artificial Intelligence — 24 citations into it

Whom Ke Xu trusts overall

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

1. Geoffrey E. Hinton
2. Ilya Sutskever
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Yoshua Bengio
6. Ruslan Salakhutdinov
7. Ronald J. Williams
8. Oriol Vinyals
9. Alex Graves
10. Karen Simonyan

Who trusts Ke Xu overall

1. Yoshua Bengio
2. Zhe Gan
3. Kyunghyun Cho
4. Trevor Darrell
5. Qi Wu
6. Mohit Bansal
7. Marcus Rohrbach
8. Chunhua Shen
9. Yi Yang
10. Quoc V. Le

Papers from Ke Xu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Show, Attend and Tell: Neural Image Caption Generation with Visual Attention (2015) — 10,867 citations