Xi Jin

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Xi Jin trusts overall

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

1. Ruslan Salakhutdinov
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Radford M. Neal
6. Yann LeCun
7. Aaron C. Courville
8. Diederik P. Kingma
9. Pascal Vincent
10. Ilya Sutskever

Papers from Xi Jin's perspective

Ordered by how strongly the researchers Xi Jin 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Modeling of nonlinear system based on deep learning framework (2015) — 96 citations