Jin Xu

Artificial Intelligence · with Du · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Safety, Robustness & Interpretability — 6 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Jin Xu trusts overall

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

1. Andrew L. Maas
2. Robert J. Vanderbei
3. Luca Pulina
4. Geoffrey E. Hinton
5. Xiaowei Huang
6. Vinod Nair
7. Leonardo de Moura
8. David E. Rumelhart
9. Guy Katz
10. Armando Tacchella

Papers from Jin Xu's perspective

Ordered by how strongly the researchers Jin 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Rectified Linear Units Improve Restricted Boltzmann Machines
7. Intriguing properties of neural networks
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Reluplex made more practical: Leaky ReLU (2020) — 421 citations