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representation learning
Leveraging sparse and shared feature activations for disentangled representation learning
Recovering the latent factors of variation of high dimensional data has so far focused on simple synthetic settings. Mostly building on …
Marco Fumero
,
Florian Wenzel
,
Luca Zancato
,
Alessandro Achille
,
Emanuele Rodolà
,
Stefano Soatto
,
Bernhard Scholkopf
,
Francesco Locatello
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NeurIPS 2023 spotlight
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