Charles Yang Zheng

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #24,389 of 35,345 by trust here, #26,682 by citations
• Statistics and Probability — 9 citations into it; #8,998 of 12,932 by trust here, #7,914 by citations

Whom Charles Yang Zheng trusts overall

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

1. Geoffrey E. Hinton
2. Michael G. B. Blum
3. Paul Marjoram
4. Yann LeCun
5. MARK A. Beaumont
6. Paul Joyce
7. Paul Fearnhead
8. Anne-Laure Boulesteix
9. Yoshua Bengio

Who trusts Charles Yang Zheng overall

1. Pablo de Castro
2. Daniel R. Schrider

Papers from Charles Yang Zheng's perspective

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

1. Gradient-based learning applied to document recognition
2. Dropout: a simple way to prevent neural networks from overfitting
3. This PDF file includes: Materials and Methods
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Learning Summary Statistic for Approximate Bayesian Computation via Deep Neural Network (2015) — 158 citations