David Stadem

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #30,184 of 35,345 by trust here, #32,362 by citations
• Model Architectures — 9 citations into it

Whom David Stadem trusts overall

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

1. J. Urgen Schmidhuber
2. Message Passing Interface Forum
3. Travis Desell

Who trusts David Stadem overall

1. Andrés Camero

Papers from David Stadem's perspective

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

1. Long Short-Term Memory
2. Long-term recurrent convolutional networks for visual recognition and description
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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Evolving Neural Networks through Augmenting Topologies

Their papers

• Evolving Recurrent Neural Networks for Time Series Data Prediction of Coal Plant Parameters (2019) — 30 citations