Edwin Fong

Statistics and Probability · 2021

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 23 citations into it
• Artificial Intelligence — 20 citations into it
• Management Science and Operations Research — 5 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Edwin Fong trusts overall

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

1. Donald B. Rubin
2. Michael I. Jordan
3. Stergios B. Fotopoulos
4. Radford M. Neal
5. Subhashis Ghosal
6. Tilmann Gneiting
7. Patrizia Berti
8. Yichuan Tang
9. Stephen G. Walker
10. Pier Giovanni Bissiri

Papers from Edwin Fong's perspective

Ordered by how strongly the researchers Edwin Fong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Martingale posterior distributions (2021) — 104 citations