Craig G. Rieger
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 5 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Craig G. Rieger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Craig G. Rieger's perspective
Ordered by how strongly the researchers Craig G. Rieger trusts endorse each paper. Same corpus, a different order for every researcher.
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Convolutional networks for images, speech, and time series
- Backpropagation Through Time: What It Does and How to Do It
- Restricted Boltzmann machines for collaborative filtering
- ImageNet classification with deep convolutional neural networks
- Deep Learning
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Ensemble deep learning for regression and time series forecasting