Jaewoo Lee

Artificial Intelligence · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Privacy & Security — 11 citations into it
• Optimization & Training — 8 citations into it

Whom Jaewoo Lee trusts overall

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

1. Cynthia Dwork
2. Raef Bassily
3. Chih-Jen Lin
4. Daniel Kifer
5. Diederik P. Kingma
6. Adam D. Smith
7. Vitaly Feldman
8. Kamalika Chaudhuri
9. Stephen P. Boyd
10. Jaewoo Lee

Papers from Jaewoo Lee's perspective

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

1. Gradient-based learning applied to document recognition
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Deep Learning with Differential Privacy
8. Differentially Private Empirical Risk Minimization
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Stochastic Adaptive Line Search for Differentially Private Optimization (2020) — 15 citations