Kimberly Lu

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #27,265 of 35,345 by trust here, #6,956 by citations
• Computer Vision and Pattern Recognition — 25 citations into it
• Safety, Robustness & Interpretability — 24 citations into it; #1,756 of 2,251 by trust here, #582 by citations

Whom Kimberly Lu trusts overall

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

1. Geoffrey E. Hinton

Who trusts Kimberly Lu overall

1. Nicholas Carlini
2. Andreas F. Terzis
3. Vitaly Shmatikov

Papers from Kimberly Lu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet: A large-scale hierarchical image database
3. ImageNet classification with deep convolutional neural networks
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. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning (2017) — 2,295 citations