Laming Chen

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Information Systems — 8 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Laming Chen trusts overall

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

1. Alex Kulesza
2. B. Taskar
3. George Karypis
4. Mi Zhang
5. Jaime G. Carbonell
6. Yehuda Koren
7. Jennifer Gillenwater
8. George L. Nemhauser
9. Neil J. Hurley
10. Boqing Gong

Papers from Laming Chen's perspective

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

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

Their papers

• Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity (2017) — 367 citations