Shuang Wu

with Kawamoto · 2013

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Shuang Wu trusts overall

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

1. L. Eon Bottou
2. Kamalika Chaudhuri
3. Claire Monteleoni
4. Pascal Paillier

Who trusts Shuang Wu overall

1. Andrey Kim
2. Bo Liu
3. Yongsoo Song
4. Ming Ding

Papers from Shuang Wu's perspective

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

1. Large-Scale Machine Learning with Stochastic Gradient Descent
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Privacy-preserving logistic regression
6. GENERATIVE ADVERSARIAL NETS
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Dropout: a simple way to prevent neural networks from overfitting
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Privacy-preservation for Stochastic Gradient Descent Application to Secure Logistic Regression (2013) — 24 citations