Xinliang Yu

2010

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Xinliang Yu trusts overall

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

1. Yuhai Wu
2. C. Burges

Papers from Xinliang Yu's perspective

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

1. Statistical Learning Theory
2. Statistical learning theory
3. The Nature of Statistical Learning Theory
4. Gradient learning in spiking neural networks by dynamic perturbation of conductances.
5. Towards Biologically Plausible Deep Learning
6. A neuronal learning rule for sub-millisecond temporal coding
7. Deep Learning
8. What regularized auto-encoders learn from the data-generating distribution
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Support vector machine-based QSPR for the prediction of glass transition temperatures of polymers (2010) — 54 citations