Bradley H. Theilman

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Bradley H. Theilman trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Joseph B. Kruskal
4. Yoshua Bengio
5. Radford M. Neal
6. Alex Krizhevsky
7. Alex Graves
8. Yann LeCun
9. Kaiming He

Papers from Bradley H. Theilman's perspective

Ordered by how strongly the researchers Bradley H. Theilman trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. GENERATIVE ADVERSARIAL NETS
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions (2018) — 56 citations