Nicholas Syring

Statistics and Probability · 2015

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 18 citations into it; #12,246 of 12,932 by trust here, #10,855 by citations
• Artificial Intelligence — 15 citations into it; #33,380 of 35,345 by trust here, #32,362 by citations
• Probabilistic & Bayesian Methods — 6 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Nicholas Syring trusts overall

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

1. Tong Zhang
2. Michael I. Jordan
3. D. M. Titterington
4. Tommi S. Jaakkola
5. Victor Chernozhukov
6. Trevor J. Hastie
7. Harold J. Kushner
8. Keming Yu
9. Gauri Sankar Datta
10. Yunwen Yang

Who trusts Nicholas Syring overall

1. Pierre Alquier

Papers from Nicholas Syring's perspective

Ordered by how strongly the researchers Nicholas Syring 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Calibrating general posterior credible regions (2015) — 137 citations