9 datasets found

Zero-shot models suffer due to artifacts inherited from pretraining. A particularly detrimental artifact, caused by unbalanced web-scale pretraining data, is mismatched label...

Optimal transport tools (OTT) is a python toolbox that can solve optimal transport problems between point clouds and histograms.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a RealNVP architecture to learn an approximate optimal transport map between...

The dataset used in the paper is a generative model, specifically a Wasserstein GAN and a Wasserstein VAE.

The dataset used in the paper is a noise distribution and a high-dimensional data distribution.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a high-dimensional continuous distribution p0, p1 for which the ground truth...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a 2D setup to illustrate the proof-of-concept of their Optimal Flow Matching...

Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation

The dataset is used to test the performance of WGAN dual OT solvers.