Cliff Moore
1993
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 292 researchers here, as inferred from the citation graph.
Whom Cliff Moore trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun (in Statistical Learning Theory)
Who trusts Cliff Moore
- Luc Van Gool (in Computer Vision and Pattern Recognition)
- Trevor Darrell (in Computer Vision and Pattern Recognition)
- Kristen Grauman (in Computer Vision and Pattern Recognition)
- Xiaogang Wang (in Computer Vision and Pattern Recognition)
- Yi Yang (in Computer Vision and Pattern Recognition)
- Dacheng Tao (in Computer Vision and Pattern Recognition)
- Andrea Vedaldi (in Computer Vision and Pattern Recognition)
- Bernt Schiele (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Yoshua Bengio (in Computer Vision and Pattern Recognition)
Papers from Cliff Moore's perspective
Ordered by how strongly the researchers Cliff Moore trusts endorse each paper. Same corpus, a different order for every researcher.
- Neural Networks for Fingerprint Recognition
- Generalization and network design strategies
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- GENERATIVE ADVERSARIAL NETS
- Dropout: a simple way to prevent neural networks from overfitting
- Going deeper with convolutions
- This PDF file includes: Materials and Methods
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)