Kevin Regan

Artificial Intelligence · with Bengio · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #29,615 of 35,345 by trust here, #19,873 by citations
• Safety, Robustness & Interpretability — 16 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it

Whom Kevin Regan trusts overall

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

1. Alex Krizhevsky
2. Vladimir Naumovich Vapni
3. Ian J. Goodfellow

Who trusts Kevin Regan overall

1. Alexia Jolicoeur-Martineau

Papers from Kevin Regan's perspective

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

1. Learning Multiple Layers of Features from Tiny Images
2. Intriguing properties of neural networks
3. Explaining and Harnessing Adversarial Examples
4. Wide Residual Networks
5. ImageNet classification with deep convolutional neural networks
6. Support-Vector Networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. The Nature of Statistical Learning Theory
10. Adversarial Machine Learning at Scale

Their papers

• Large Margin Deep Networks for Classification (2018) — 328 citations