James Weimer

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Safety, Robustness & Interpretability — 8 citations into it
• Computer Networks and Communications — 6 citations into it

Whom James Weimer trusts overall

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

1. Christian Szegedy
2. Ian J. Goodfellow
3. Shike Mei
4. Yichao Wu
5. Peter L. Bartlett
6. Battista Biggio
7. Fabio Pasqualetti
8. Nagarajan Natarajan
9. Michael I. Jordan
10. André M. H. Teixeira

Papers from James Weimer's perspective

Ordered by how strongly the researchers James Weimer 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. Gradient-based learning applied to document recognition
4. Intriguing properties of neural networks
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Explaining and Harnessing Adversarial Examples

Their papers

• Resilient Linear Classification: An Approach to Deal with Attacks on Training Data (2017) — 8 citations