81 citations · 494 across the 83 of their papers we have counts for
3 papers · 1 filter
Adversarial Sampling for Active Learning
Christoph Mayer, Radu Timofte
This paper proposes asal, a new GAN based active learning method that generates high entropy samples. Instead of directly annotating the synthetic samples, ASAL searches similar sa…
Optimal transport maps for distribution preserving operations on latent spaces of Generative Models
Eirikur Agustsson, Alexander Sage, Radu Timofte +1
Generative models such as Variational Auto Encoders (VAEs) and Generative Adversarial Networks (GANs) are typically trained for a fixed prior distribution in the latent space, such…
k2-means for fast and accurate large scale clustering
Eirikur Agustsson, Radu Timofte, Luc Van Gool
We propose k^2-means, a new clustering method which efficiently copes with large numbers of clusters and achieves low energy solutions. k^2-means builds upon the standard k-means (…