Tobias Matzner
Artificial Intelligence · 2014
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 7 citations into it; #26,281 of 35,345 by trust here, #33,294 by citations
- Sociology and Political Science — 6 citations into it; #14,979 of 22,756 by trust here, #20,871 by citations
Whom Tobias Matzner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Tobias Matzner overall
Papers from Tobias Matzner's perspective
Ordered by how strongly the researchers Tobias Matzner trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- k-Anonymity: A Model for Protecting Privacy
- ImageNet: A large-scale hierarchical image database
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Equality of Opportunity in Supervised Learning