Søren Hauberg
Computer Vision and Pattern Recognition · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 23 citations into it; #14,199 of 21,575 by trust here, #11,498 by citations
- Artificial Intelligence — 19 citations into it; #22,963 of 35,345 by trust here, #17,110 by citations
- Generative Models — 10 citations into it; #1,690 of 1,956 by trust here, #1,502 by citations
- Probabilistic & Bayesian Methods — 7 citations into it
Whom Søren Hauberg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Patrice Y. Simard
- Diederik P. Kingma
- Henry S. Baird
- Xavier Pennec
- Yann LeCun
- Navdeep Jaitly
- Ilya Sutskever
- Yoshua Bengio
Who trusts Søren Hauberg overall
- Alex Hernandez-Garcia
- Shuxiao Chen
- Alec Radford
- Andreas Holzinger
- Amy Zhao
- Xinyue Zhu
- Yunshu Du
- Peter König
- Jiuxiang Gu
- Antreas Antoniou
Papers from Søren Hauberg's perspective
Ordered by how strongly the researchers Søren Hauberg 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation (2015) — 160 citations
- Latent Space Oddity: on the Curvature of Deep Generative Models (2017) — 331 citations