Christine Kranenburg

1999

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 10 researchers here, as inferred from the citation graph.

Whom Christine Kranenburg trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. John F. Canny

Who trusts Christine Kranenburg overall

1. Cordelia Schmid
2. Hui Zhang
3. Shireen Elhabian
4. Mehul P. Sampat
5. Piotr Doll'ar

Papers from Christine Kranenburg's perspective

Ordered by how strongly the researchers Christine Kranenburg trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Computational Approach to Edge Detection
2. Learning Multiple Layers of Features from Tiny Images
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Attention is All you Need (Neural Information Processing Systems)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Representation Learning with Contrastive Predictive Coding
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• Edge detector evaluation using empirical ROC curves (1999)