A. Mcgough
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it; #31,050 of 35,345 by trust here, #25,809 by citations
- Probabilistic & Bayesian Methods — 8 citations into it; #1,410 of 1,525 by trust here, #1,365 by citations
- Computer Vision and Pattern Recognition — 7 citations into it
- Model Architectures — 6 citations into it
- Statistics and Probability — 6 citations into it; #11,541 of 12,932 by trust here, #9,714 by citations
Whom A. Mcgough trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Danilo Jimenez Rezende
- Yoshua Bengio
- Bjørn Eraker
- Karen Simonyan
- Alex Krizhevsky
- Max Welling
- Gareth O. Roberts
- Jimmy Ba
Who trusts A. Mcgough overall
Papers from A. Mcgough's perspective
Ordered by how strongly the researchers A. Mcgough trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database