Kristian Nybo
Representation & Self-Supervised Learning · 2010
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Representation & Self-Supervised Learning — 11 citations into it; #2,500 of 3,145 by trust here, #2,404 by citations
- Computer Vision and Pattern Recognition — 7 citations into it; #16,312 of 21,575 by trust here, #14,151 by citations
Whom Kristian Nybo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sam T. Roweis
- Mikhail Belkin
- Kilian Q. Weinberger
- Geoffrey E. Hinton
- Lawrence K. Saul
- Joseph B. Kruskal
- John C. Gower
- David L. Donoho
- Partha Niyogi
- L. V. D. van der Maaten
Who trusts Kristian Nybo overall
Papers from Kristian Nybo's perspective
Ordered by how strongly the researchers Kristian Nybo trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- A global geometric framework for nonlinear dimensionality reduction.
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)