Harrison Rosenberg

Artificial Intelligence · 2018

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 — 19 citations into it
• Safety, Robustness & Interpretability — 18 citations into it

Whom Harrison Rosenberg trusts overall

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

1. Ian J. Goodfellow
2. Seyed-Mohsen Moosavi-Dezfooli
3. Christian Szegedy
4. Alhussein Fawzi
5. Rong-En Fan
6. Nicolas Papernot
7. Geoffrey E. Hinton
8. Alex Krizhevsky

Papers from Harrison Rosenberg's perspective

Ordered by how strongly the researchers Harrison Rosenberg 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. Intriguing properties of neural networks
4. Gradient-based learning applied to document recognition
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. Explaining and Harnessing Adversarial Examples
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Geometric Perspective on the Transferability of Adversarial Directions (2018) — 17 citations