Keywords:
- algorithmic stability
- deep learning
- domain adaptation
- learning theory
- leave-one-out
- Locally Linear Support Vector Machines
- LSSVM
- Metric learning
- multiclass
- Naive Bayes Nearest Neighbor
- non-convex optimization
- nonparametric prediction
- online learning
- regularized least squares
- stability
- statistical learning theory
- stochastic gradient descent
- Stochastic Majorization Minimization
- stochastic optimization
- transfer learning
- visual recognition
Publications of Ilja Kuzborskij
2018
| Theory and Algorithms for Hypothesis Transfer Learning, , EPFL, 2018 |
[DOI] |
2016
| Fast Rates by Transferring from Auxiliary Hypotheses, and , in: Machine Learning, 2016 |
| Scalable greedy algorithms for transfer learning, , and , in: Computer Vision and Image Understanding, 2016 |
| When Naïve Bayes Nearest Neighbors Meet Convolutional Neural Networks, , and , in: Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2016 |
|
2015
| Transfer Learning through Greedy Subset Selection, , and , Idiap-RR-26-2015 |
|
| Transfer Learning through Greedy Subset Selection, , and , in: Image Analysis and Processing - ICIAP 2015, Genoa, Italy, pages 3-14, Springer International Publishing, 2015 |
[DOI] |
2014
| Characterization of a Benchmark Database for Myoelectric Movement Classification, , , , , , , , and , in: Transactions on Neural Systems and Rehabilitation Engineering, 23:73-83, 2014 |
[DOI] |
2013
| From N to N+1: Multiclass Transfer Incremental Learning, , and , in: Proceedings of the Conference on Computer Vision and Pattern Recognition, 2013 |
|
| Stability and Hypothesis Transfer Learning, and , in: International Conference on Machine Learning, 2013 |
|
2012
| On the Challenge of Classifying 52 Hand Movements from Surface Electromyography, , and , in: 34th Annual Conference of the IEEE Engineering in Medicine & Biology Society, 2012 |
|