Daniel R. Catchpoole
Computer Vision and Pattern Recognition · 2013–2017
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 20 citations into it
- Molecular Biology — 12 citations into it
Whom Daniel R. Catchpoole trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David E. Rumelhart
- Jia Wu
- Geoffrey E. Hinton
- Huaiyu Zhu
- Yoshua Bengio
- Xavier Glorot
- Andy Liaw
- Alok Sharma
- Ronald J. Williams
- George H. John
Who trusts Daniel R. Catchpoole overall
Papers from Daniel R. Catchpoole's perspective
Ordered by how strongly the researchers Daniel R. Catchpoole 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)
- GENERATIVE ADVERSARIAL NETS
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- This PDF file includes: Materials and Methods
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A balanced iterative random forest for gene selection from microarray data (2013) — 81 citations
- Relational autoencoder for feature extraction (2017) — 212 citations