Yi Sun

Artificial Intelligence · with Brown · 2019

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Safety, Robustness & Interpretability — 40 citations into it; #2,180 of 2,251 by trust here, #1,650 by citations
• Computer Vision and Pattern Recognition — 19 citations into it
• Optimization & Training — 6 citations into it

Whom Yi Sun trusts overall

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

1. Ian J. Goodfellow
2. Kaiming He
3. Nicholas Carlini
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Christian Szegedy
7. Jia Deng
8. Dan Hendrycks
9. Yoshua Bengio
10. Yann LeCun

Who trusts Yi Sun overall

1. Yu Sun
2. Florian Tramèr
3. Rohan Taori

Papers from Yi Sun's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Transfer of Adversarial Robustness Between Perturbation Types (2019) — 53 citations
• Testing Robustness Against Unforeseen Adversaries (2019) — 144 citations