James Wei

Artificial Intelligence · 2017

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 — 26 citations into it
• Safety, Robustness & Interpretability — 23 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom James Wei trusts overall

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

1. Alex Krizhevsky
2. Nicholas Carlini
3. Ian J. Goodfellow
4. Yann LeCun
5. Christian Szegedy
6. Nicolas Papernot
7. Geoffrey E. Hinton
8. Yoshua Bengio
9. Ilya Sutskever
10. Kaiming He

Who trusts James Wei overall

1. Naveed Akhtar
2. Thilo Strauss

Papers from James Wei's perspective

Ordered by how strongly the researchers James Wei 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. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong (2017) — 246 citations