Jonathan Woodbridge

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #27,316 of 35,345 by trust here, #25,809 by citations
• Model Architectures — 6 citations into it

Whom Jonathan Woodbridge trusts overall

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

1. Felix Alexander Gers
2. J. Urgen Schmidhuber
3. Ian J. Goodfellow
4. Sepp Hochreiter
5. Individualized Treat
6. Alex Graves
7. Yoshua Bengio
8. Geoffrey E. Hinton
9. Christian Szegedy
10. Tim Salimans

Who trusts Jonathan Woodbridge overall

1. H. S. Anderson
2. Xiaoyong Yuan
3. Daniel S. Berman
4. Yuanshun Yao

Papers from Jonathan Woodbridge's perspective

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

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

Their papers

• DeepDGA: Adversarially-Tuned Domain Generation and Detection (2016) — 223 citations