Brandon Wild

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #23,825 of 35,345 by trust here, #30,347 by citations
• Model Architectures — 7 citations into it

Whom Brandon Wild trusts overall

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

1. Paul J. Werbos

Who trusts Brandon Wild overall

1. Andrés Camero

Papers from Brandon Wild's perspective

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

1. Dropout: a simple way to prevent neural networks from overfitting
2. Recurrent Neural Network Regularization
3. On the difficulty of training recurrent neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Backpropagation Through Time: What It Does and How to Do It
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Evolving Neural Networks through Augmenting Topologies

Their papers

• Using ant colony optimization to optimize long short-term memory recurrent neural networks (2018) — 30 citations