Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Juhos, Attila"'
Autor:
Reizinger, Patrik, Bizeul, Alice, Juhos, Attila, Vogt, Julia E., Balestriero, Randall, Brendel, Wieland, Klindt, David
Supervised learning has become a cornerstone of modern machine learning, yet a comprehensive theory explaining its effectiveness remains elusive. Empirical phenomena, such as neural analogy-making and the linear representation hypothesis, suggest tha
Externí odkaz:
http://arxiv.org/abs/2410.21869
Autor:
Mayilvahanan, Prasanna, Zimmermann, Roland S., Wiedemer, Thaddäus, Rusak, Evgenia, Juhos, Attila, Bethge, Matthias, Brendel, Wieland
Out-of-Domain (OOD) generalization is the ability of a model trained on one or more domains to generalize to unseen domains. In the ImageNet era of computer vision, evaluation sets for measuring a model's OOD performance were designed to be strictly
Externí odkaz:
http://arxiv.org/abs/2410.08258
Autor:
Rusak, Evgenia, Reizinger, Patrik, Juhos, Attila, Bringmann, Oliver, Zimmermann, Roland S., Brendel, Wieland
Previous theoretical work on contrastive learning (CL) with InfoNCE showed that, under certain assumptions, the learned representations uncover the ground-truth latent factors. We argue these theories overlook crucial aspects of how CL is deployed in
Externí odkaz:
http://arxiv.org/abs/2407.00143
Autor:
Wiedemer, Thaddäus, Brady, Jack, Panfilov, Alexander, Juhos, Attila, Bethge, Matthias, Brendel, Wieland
Learning representations that generalize to novel compositions of known concepts is crucial for bridging the gap between human and machine perception. One prominent effort is learning object-centric representations, which are widely conjectured to en
Externí odkaz:
http://arxiv.org/abs/2310.05327
Autor:
Juhos, Attila
X-ray computed tomographic infrastructures are medical imaging modalities that rely on the acquisition of rays crossing examined objects while measuring their intensity decrease. Physical measurements are post-processed by mathematical reconstruction
Externí odkaz:
http://arxiv.org/abs/2201.09132
Autor:
Cseh, Ágnes, Juhos, Attila
We study the classical, two-sided stable marriage problem under pairwise preferences. In the most general setting, agents are allowed to express their preferences as comparisons of any two of their edges and they also have the right to declare a draw
Externí odkaz:
http://arxiv.org/abs/1810.00392