Jyrki Kivinen
Artificial Intelligence · 1997–2011
A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 119 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it; #5,913 of 35,345 by trust here, #10,319 by citations
- Statistical Learning Theory — 11 citations into it
Whom Jyrki Kivinen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nick Littlestone
- Bernhard Schölkopf
- Alex Smola
- Bernhard E. Boser
- Michael Kearns
- Mark Herbster
- Robert E. Schapire
- Vladimir Naumovich Vapnik
- Manfred K. Warmuth
- Jerome H. Friedman
Who trusts Jyrki Kivinen overall
- Shai Shalev-Shwartz
- J. Bagnell
- Jacob Steinhardt
- H. Brendan McMahan
- Andrew Y. Ng
- John C. Duchi
- Francis R. Bach
- Nathan D. Ratliff
- Michael J. Pazzani
- Lin Xiao
Papers from Jyrki Kivinen's perspective
Ordered by how strongly the researchers Jyrki Kivinen 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
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Online learning with kernels (2001) — 1,155 citations
- Online Bayes Point Ma hines (2011)
- Exponentiated Gradient Versus Gradient Descent for Linear Predictors (1997)