Xia Feng

Artificial Intelligence · with Jelodar · 2017

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Statistical and Nonlinear Physics — 8 citations into it
• Natural Language Processing — 7 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Xia Feng trusts overall

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

1. David M. Blei
2. Andrew McCallum
3. Matthew S. Gerber
4. T. Griffiths
5. Michael I. Jordan

Papers from Xia Feng's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey (2017) — 1,778 citations