Jaewook Lee

Artificial Intelligence · with Lee · 2020

A researcher in the Science corpus: 1 paper; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Safety, Robustness & Interpretability — 34 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Hardware and Architecture — 6 citations into it
• Electrical and Electronic Engineering — 5 citations into it
• Program Analysis & Verification — 5 citations into it

Whom Jaewook Lee trusts overall

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

1. Xiaowei Huang
2. Huan Zhang
3. Nicholas Carlini
4. Aditi Raghunathan
5. Rüdiger Ehlers
6. Krishnamurthy (Dj) Dvijotham
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Ian J. Goodfellow
10. J. Kolter

Papers from Jaewook Lee's perspective

Ordered by how strongly the researchers Jaewook Lee 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 classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Intriguing properties of neural networks
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Lipschitz-Certifiable Training with a Tight Outer Bound (2020) — 21 citations