Jun Wei Ng

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it; #676 of 1,525 by trust here, #1,031 by citations
• Control and Systems Engineering — 5 citations into it

Whom Jun Wei Ng trusts overall

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

1. Volker Tresp
2. Edward Snelson
3. Yanshuai Cao
4. Carl E. Rasmussen
5. Robert A. Jacobs
6. Miguel L'azaro-Gredilla
7. Zoubin Ghahramani
8. Neil D. Lawrence
9. Geoffrey E. Hinton
10. Michael I. Jordan

Who trusts Jun Wei Ng overall

1. Danijar Hafner
2. Balaji Lakshminarayanan
3. Lingjiao Chen
4. Haitao Liu
5. Eric T. Nalisnick
6. Maruan Al-Shedivat
7. Feng Yin
8. Dustin Tran
9. Yee Whye Teh

Papers from Jun Wei Ng's perspective

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

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

Their papers

• Distributed Gaussian Processes (2015) — 390 citations