Wen Yang

Artificial Intelligence · with Ali · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 128 citations into it
• Probabilistic & Bayesian Methods — 50 citations into it
• Statistics and Probability — 12 citations into it

Whom Wen Yang trusts overall

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

1. Radford M. Neal

Papers from Wen Yang's perspective

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

1. Distilling the Knowledge in a Neural Network (arXiv.org)
2. Rethinking the Inception Architecture for Computer Vision
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Pattern Recognition and Machine Learning
6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
7. Gradient-based learning applied to document recognition
8. Practical Variational Inference for Neural Networks
9. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A survey of uncertainty in deep neural networks (2021) — 1,852 citations