James A. Storer

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 James A. Storer trusts overall

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

1. David L. Donoho
2. Nicolas Papernot
3. Ian J. Goodfellow

Papers from James A. Storer's perspective

Ordered by how strongly the researchers James A. Storer 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. Explaining and Harnessing Adversarial Examples
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Learning Multiple Layers of Features from Tiny Images
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

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