Xindi Wu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 101 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it
• Safety, Robustness & Interpretability — 33 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it
• Optimization & Training — 10 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Xindi Wu trusts overall

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

1. Yann LeCun
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Kaiming He
6. Diederik P. Kingma
7. Ilya Sutskever
8. Karen Simonyan
9. Tsung-Yi Lin
10. Matthew D. Zeiler

Who trusts Xindi Wu overall

1. Jingkang Yang

Papers from Xindi Wu's perspective

Ordered by how strongly the researchers Xindi Wu 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks (2019) — 708 citations