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Jan 28, 2020 · We present a way to utilize information theory to understand the abstract representations formed in the hidden layers of the network.
Jan 29, 2020 · We have investigated how a bimodal autoencoder can form a shared representation in an unsupervised manner with multi-modal data.
Jan 29, 2020 · We have investigated how a bimodal autoencoder can form a shared representation in an unsupervised manner with multi-modal data.
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An Information Theoretic Approach to Reveal the Formation of Shared Representations · Frontiers in Computational Neuroscience, January 2020 · 10.3389/fncom.
An Information Theoretic Approach to Reveal the Formation of Shared Representation · Being curious about the answers to questions: novelty search with learned ...
An Information Theoretic Approach to Reveal the Formation of Shared Representations. Frontiers in Computational Neuroscience. Akihiro Eguchi; ,; Takato Horii ...
We believe that such an information theoretic approach could potentially provide insights into the development of more efficient and cost-effective ways to ...
An Information Theoretic Approach to Reveal the Formation of Shared Representations. ... development of detailed facial representations along ventral ...
array(11) { ["title"]=> string(82) "An Information Theoretic Approach to Reveal the Formation of Shared Representation" ["year"]=> string(4) "2019" ...