Maximum Entropy Information Bottleneck for Uncertainty-aware Stochastic Embedding. Stochastic embedding has several advantages over deterministic embedding, such as the capability of associating uncertainty with the resulting embedding and robustness to noisy data.
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We present a different variational approach to stochastic embedding in which maximum entropy acts as the bottleneck, which we call Maximum Entropy Information ...
We present a different variational approach to stochastic embedding in which maximum entropy acts as the bottleneck, which we call Maximum Entropy Information ...
We present a different variational approach to stochastic embedding in which maximum entropy acts as the bottleneck, which we call Maximum Entropy Information ...
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Understanding Autoencoders with Information Theoretic Concepts · Maximum Entropy Information Bottleneck for Uncertainty-aware Stochastic Embedding · Training ...
Best Paper. ID 3: Maximum Entropy Information Bottleneck for Uncertainty-aware Stochastic Embedding. Sungtae An (Georgia Institue of Technology ); Nataraj ...
2019. Maximum entropy information bottleneck for uncertainty-aware stochastic embedding. S An, N Jammalamadaka, E Chong. Proceedings of the IEEE/CVF Conference ...
Maximum entropy information bottleneck for uncertainty-aware stochastic embedding. In CVPR. Workshops, pages 3809–3818. Francesco Barbieri, José Camacho ...