Cédric Gouy-Pailler

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Safety, Robustness & Interpretability — 28 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it

Whom Cédric Gouy-Pailler trusts overall

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

1. Alex Krizhevsky

Papers from Cédric Gouy-Pailler's perspective

Ordered by how strongly the researchers Cédric Gouy-Pailler 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. Learning Multiple Layers of Features from Tiny Images
3. ImageNet: A large-scale hierarchical image database
4. Intriguing properties of neural networks
5. ImageNet classification with deep convolutional neural networks
6. Explaining and Harnessing Adversarial Examples
7. Wide Residual Networks
8. Gradient-based learning applied to document recognition
9. Towards Deep Learning Models Resistant to Adversarial Attacks
10. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Their papers

• Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family (2019) — 91 citations