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| author | ievred <ievgen.redko@univ-st-etienne.fr> | 2020-04-15 16:44:54 +0200 |
|---|---|---|
| committer | ievred <ievgen.redko@univ-st-etienne.fr> | 2020-04-15 16:44:54 +0200 |
| commit | dda4941eb9bd184aee7db8eff229edc3ea1979df (patch) | |
| tree | 6df3250683703a14ed176dc6bfa8e433cd1ac411 /README.md | |
| parent | 77cae32e956d87cfc1f69a0ea7a28c906347070d (diff) | |
conflict readme
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 4 |
1 files changed, 2 insertions, 2 deletions
@@ -29,7 +29,7 @@ It provides the following solvers: * Non regularized free support Wasserstein barycenters [20]. * Unbalanced OT with KL relaxation distance and barycenter [10, 25]. * Screening Sinkhorn Algorithm for OT [26]. -* JCPOT algorithm for multi-source target shift [27]. +* JCPOT algorithm for multi-source domain adaptation with target shift [27]. Some demonstrations (both in Python and Jupyter Notebook format) are available in the examples folder. @@ -259,4 +259,4 @@ You can also post bug reports and feature requests in Github issues. Make sure t [26] Alaya M. Z., Bérar M., Gasso G., Rakotomamonjy A. (2019). [Screening Sinkhorn Algorithm for Regularized Optimal Transport](https://papers.nips.cc/paper/9386-screening-sinkhorn-algorithm-for-regularized-optimal-transport), Advances in Neural Information Processing Systems 33 (NeurIPS). -[27] Redko I., Courty N., Flamary R., Tuia D. (2019). [Optimal Transport for Multi-source Domain Adaptation under Target Shift](http://proceedings.mlr.press/v89/redko19a.html), Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics (AISTATS) 22, 2019.
\ No newline at end of file +[27] Redko I., Courty N., Flamary R., Tuia D. (2019). [Optimal Transport for Multi-source Domain Adaptation under Target Shift](http://proceedings.mlr.press/v89/redko19a.html), Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics (AISTATS) 22, 2019. |