Paul Wilson

2015

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

Whom Paul Wilson trusts overall

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

1. Q. Vuong
2. David M. Blei
3. Kevin A. Clarke

Who trusts Paul Wilson overall

1. Harlan Campbell
2. Anabel Blasco‐Moreno

Papers from Paul Wilson's perspective

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

1. Estimating the Dimension of a Model
2. Learning Multiple Layers of Features from Tiny Images
3. GENERATIVE ADVERSARIAL NETS
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Bayesian learning for neural networks
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. ImageNet: A large-scale hierarchical image database
8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. Asynchronous Methods for Deep Reinforcement Learning
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• The misuse of the Vuong test for non-nested models to test for zero-inflation (2015) — 145 citations