Xiaokang Liu

Artificial Intelligence · 2018

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

Subfields

• Artificial Intelligence — 21 citations into it
• Safety, Robustness & Interpretability — 15 citations into it

Whom Xiaokang Liu trusts overall

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

1. Ian J. Goodfellow
2. Geoffrey E. Hinton

Papers from Xiaokang Liu's perspective

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

1. Distilling the Knowledge in a Neural Network (arXiv.org)
2. Intriguing properties of neural networks
3. Explaining and Harnessing Adversarial Examples
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Towards Deep Learning Models Resistant to Adversarial Attacks
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Adversarial examples in the physical world

Their papers

• CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition (2018) — 399 citations