Eirini Asteri

Safety, Robustness & Interpretability · 2017

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 35 citations into it; #1,244 of 2,251 by trust here, #1,437 by citations
• Artificial Intelligence — 33 citations into it; #18,957 of 35,345 by trust here, #16,471 by citations
• Computer Vision and Pattern Recognition — 17 citations into it; #12,528 of 21,575 by trust here, #11,083 by citations
• Generative Models — 8 citations into it; #1,155 of 1,956 by trust here, #1,252 by citations

Whom Eirini Asteri trusts overall

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

1. Diederik P. Kingma
2. Ian J. Goodfellow
3. Nicholas Carlini
4. Yann LeCun
5. Geoffrey E. Hinton
6. Kaiming He
7. Alex Krizhevsky
8. Yoshua Bengio
9. Christian Szegedy
10. Ilya Sutskever

Who trusts Eirini Asteri overall

1. David Stutz
2. Alexander Turner
3. Lukas Schott
4. Dinghuai Zhang

Papers from Eirini Asteri's perspective

Ordered by how strongly the researchers Eirini Asteri 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. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet Large Scale Visual Recognition Challenge
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. GENERATIVE ADVERSARIAL NETS
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• The Robust Manifold Defense: Adversarial Training using Generative Models (2017) — 176 citations