Wei Zhou

Artificial Intelligence · with Dong · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• General Social Sciences — 5 citations into it
• Natural Language Processing — 5 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Wei Zhou trusts overall

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

1. David M. Blei
2. Michael I. Jordan

Papers from Wei Zhou's perspective

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

1. Latent Dirichlet Allocation
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Finding scientific topics
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• An overview of topic modeling and its current applications in bioinformatics (2016) — 392 citations