Andrew B. Gardner

Artificial Intelligence · with Curtin · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #9,131 of 35,345 by trust here, #8,619 by citations
• Safety, Robustness & Interpretability — 11 citations into it; #618 of 2,251 by trust here, #748 by citations

Whom Andrew B. Gardner trusts overall

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

1. Ian J. Goodfellow
2. Nicolas Papernot
3. Yarin Gal
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Yann LeCun
7. Alex Krizhevsky
8. Zoubin Ghahramani
9. Christian Szegedy
10. Ilya Sutskever

Who trusts Andrew B. Gardner overall

1. Nicholas Carlini
2. David Stutz
3. S. Murray

Papers from Andrew B. Gardner's perspective

Ordered by how strongly the researchers Andrew B. Gardner 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Dropout: a simple way to prevent neural networks from overfitting
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Intriguing properties of neural networks

Their papers

• Detecting Adversarial Samples from Artifacts (2017) — 984 citations