Wooseok Choi
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 37 citations into it
- Privacy & Security — 20 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Computational Theory and Mathematics — 12 citations into it
Whom Wooseok Choi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Craig Gentry
- Alex Krizhevsky
- Zvika Brakerski
- Karen Simonyan
- Kaiming He
- Yann LeCun
- Geoffrey E. Hinton
- Payman Mohassel
- Frederik Vercauteren
- M. Sadegh Riazi
Who trusts Wooseok Choi overall
Papers from Wooseok Choi's perspective
Ordered by how strongly the researchers Wooseok Choi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Cheetah: Optimizing and Accelerating Homomorphic Encryption for Private Inference (2020) — 187 citations