Sunnie S. Y. Kim

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 165 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Artificial Intelligence — 22 citations into it
• Generative Models — 14 citations into it
• Safety, Robustness & Interpretability — 12 citations into it
• Safety Research — 8 citations into it
• Optimization & Training — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Sunnie S. Y. Kim trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Alex Krizhevsky
6. Olga Russakovsky
7. Yoshua Bengio
8. Jimmy Ba
9. Yann LeCun
10. Bharath Hariharan

Papers from Sunnie S. Y. Kim's perspective

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

Their papers

• Fair Attribute Classification through Latent Space De-biasing (2020) — 193 citations