Yilun Xu

Artificial Intelligence · with Cao · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it; #25,522 of 35,345 by trust here, #24,417 by citations
• Computer Vision and Pattern Recognition — 25 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Yilun Xu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Yoshua Bengio
6. Leslie G. Valiant
7. Eugene Seneta
8. Michael I. Jordan
9. Zoltán Szabó
10. Yann LeCun

Who trusts Yilun Xu overall

1. Kawin Ethayarajh
2. J. O’Connor
3. Yejin Choi
4. Geoff Pleiss
5. John Hewitt
6. Swabha Swayamdipta
7. Zheyan Shen
8. Jacob Andreas
9. Tiago Pimentel
10. Tianyi Zhang

Papers from Yilun Xu's perspective

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

Their papers

• A Theory of Usable Information Under Computational Constraints (2020) — 217 citations
• L_DMI: An Information-theoretic Noise-robust Loss Function (2019) — 60 citations