Solomon Garber

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Safety, Robustness & Interpretability — 24 citations into it

Whom Solomon Garber trusts overall

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

1. David L. Donoho
2. Nicolas Papernot
3. Ian J. Goodfellow
4. Geoffrey E. Hinton
5. Kaiming He
6. Alex Krizhevsky
7. Christian Szegedy
8. Yoshua Bengio
9. Yann LeCun
10. Patrick Drew McDaniel

Papers from Solomon Garber's perspective

Ordered by how strongly the researchers Solomon Garber 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Deflecting Adversarial Attacks with Pixel Deflection (2018) — 334 citations