Benjamin S. Riggan

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it
• Artificial Intelligence — 7 citations into it
• Generative Models — 7 citations into it

Whom Benjamin S. Riggan trusts overall

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

1. Geoffrey E. Hinton
2. Jon Gauthier
3. Michael R. Kosorok
4. Christian Szegedy
5. Mehdi Mirza
6. Judy Hoffman
7. Cristian Bucila
8. Phillip Isola
9. Alex Krizhevsky
10. Oriol Vinyals

Papers from Benjamin S. Riggan's perspective

Ordered by how strongly the researchers Benjamin S. Riggan 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. GENERATIVE ADVERSARIAL NETS
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Distilling the Knowledge in a Neural Network (arXiv.org)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Cross-Modality Distillation: A Case for Conditional Generative Adversarial Networks (2018) — 37 citations