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This paper presents an experimental study of Kolmogorov-Arnold Networks (KANs) applied to computer vision tasks, particularly image classification. KANs introduce learnable activation functions on edges, offering flexible non-linear transformations c
Externí odkaz:
http://arxiv.org/abs/2411.18224
Autor:
Schaffner, Brennan, Ulloa, Yaretzi, Sahni, Riya, Li, Jiatong, Cohen, Ava Kim, Messier, Natasha, Gao, Lan, Chetty, Marshini
Prior work on dark patterns, or manipulative online interfaces, suggests they have potentially detrimental effects on user autonomy. Dark pattern features, like those designed for attention capture, can potentially extend platform sessions beyond tha
Externí odkaz:
http://arxiv.org/abs/2412.16040