Yiyou Sun

Artificial Intelligence · Neural Information Processing Systems · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 330 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 123 citations into it; #19,339 of 35,345 by trust here, #21,316 by citations
• Computer Vision and Pattern Recognition — 95 citations into it; #18,722 of 21,575 by trust here, #17,258 by citations
• Safety, Robustness & Interpretability — 32 citations into it
• Evaluation & Benchmarks — 23 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Anomaly & Outlier Detection — 11 citations into it
• Optimization & Training — 11 citations into it
• Model Architectures — 9 citations into it

Whom Yiyou Sun trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Dan Hendrycks
6. Yoshua Bengio
7. Jia Deng
8. Yann LeCun
9. X. Zhang
10. Ross B. Girshick

Who trusts Yiyou Sun overall

1. Jingkang Yang
2. Yixuan Li
3. Zhen Fang
4. Haoqi Wang
5. Mengyu Wang
6. Chao Chen
7. Kaiyang Zhou
8. Jie Lu
9. Zhizhong Li
10. Yifei Ming

Papers from Yiyou Sun's perspective

Ordered by how strongly the researchers Yiyou 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• ReAct: Out-of-distribution Detection With Rectified Activations (2021) — 694 citations
• OpenOOD: Benchmarking Generalized Out-of-Distribution Detection (2022) — 381 citations
• Out-of-distribution Detection with Deep Nearest Neighbors (2022) — 857 citations