Somayeh Danafar
Statistical Learning Theory · 2010–2013
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistical Learning Theory — 14 citations into it
- Statistics and Probability — 14 citations into it
- Artificial Intelligence — 10 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Somayeh Danafar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Arthur Gretton
- Alex Smola
- Kenji Fukumizu
- Bernhard Schölkopf
- Bharath K. Sriperumbudur
- Nicholas I. Fisher
- Francis R. Bach
- Jerome H. Friedman
- Le Song
- José Carlos Príncipe
Who trusts Somayeh Danafar overall
Papers from Somayeh Danafar's perspective
Ordered by how strongly the researchers Somayeh Danafar 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)
- GENERATIVE ADVERSARIAL NETS
Their papers
- Testing Hypotheses by Regularized Maximum Mean Discrepancy (2013) — 9 citations
- Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition (2010) — 13 citations