Sen Wang

Safety, Robustness & Interpretability · with Huang · 2016

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 20 citations into it; #789 of 2,251 by trust here, #782 by citations
• Artificial Intelligence — 16 citations into it; #11,615 of 35,345 by trust here, #8,999 by citations
• Computer Vision and Pattern Recognition — 11 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Sen Wang trusts overall

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

1. Ian J. Goodfellow
2. Christian Szegedy
3. Karen Simonyan
4. Nicolas Papernot
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yoshua Bengio
8. Ilya Sutskever
9. Yann LeCun
10. Andrew Zisserman

Who trusts Sen Wang overall

1. Eric Wong
2. J. Kolter
3. Guy Katz
4. Shiqi Wang
5. Xiaowei Huang
6. Nicholas Carlini
7. Timon Gehr
8. Kexin Pei
9. Alessio R. Lomuscio

Papers from Sen Wang's perspective

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

Their papers

• Safety Verification of Deep Neural Networks (2016) — 1,011 citations