Patrick McClure
Probabilistic & Bayesian Methods · 2016–2018
A researcher in the Science corpus: 3 papers; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Probabilistic & Bayesian Methods — 31 citations into it
- Artificial Intelligence — 26 citations into it
- Optimization & Training — 16 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Efficiency & Compression — 7 citations into it
Whom Patrick McClure trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- Yarin Gal
- Ilya Sutskever
- Yoshua Bengio
- David John Cameron MacKay
- Max Welling
Papers from Patrick McClure's perspective
Ordered by how strongly the researchers Patrick McClure 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Distributed Weight Consolidation: A Brain Segmentation Case Study (2018) — 28 citations
- Representation of uncertainty in deep neural networks through sampling (2016) — 8 citations
- Robustly representing inferential uncertainty in deep neural networks through sampling (2016) — 14 citations