Woosuk Kwon

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 15 citations into it
• Model Architectures — 8 citations into it
• Efficiency & Compression — 5 citations into it

Whom Woosuk Kwon trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Quoc V. Le
4. Mingxing Tan
5. Christian Szegedy
6. Geoffrey E. Hinton
7. Barret Zoph
8. Tianqi Chen
9. Jacob Devlin
10. X. Zhang

Papers from Woosuk Kwon's perspective

Ordered by how strongly the researchers Woosuk Kwon 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. Long Short-Term Memory
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning (2020) — 92 citations
• SkyPilot: An Intercloud Broker for Sky Computing (2023) — 123 citations