Y. Lu

Artificial Intelligence · with Dziedzic · 2022

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Safety, Robustness & Interpretability — 14 citations into it
• Privacy & Security — 8 citations into it
• Signal Processing — 6 citations into it

Whom Y. Lu trusts overall

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

1. Cynthia Dwork
2. Nicolas Papernot
3. Adam Back
4. Ian J. Goodfellow
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Tribhuvanesh Orekondy
8. Jia Deng
9. Yoshua Bengio
10. Yann LeCun

Papers from Y. Lu's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Increasing the Cost of Model Extraction with Calibrated Proof of Work (2022) — 39 citations