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Found 4 papers, 2 papers with code
Obtaining Favorable Layouts for Multiple Object Generation
To address this challenge, we propose a novel approach based on a guiding principle.
Efficient Verification-Based Face Identification
We study the problem of performing face verification with an efficient neural model $f$.
Anomaly Detection with Variance Stabilized Density Estimation
Then, we present a variance-stabilized density estimation problem for maximizing the likelihood of the observed samples while minimizing the variance of the density around normal samples.
Domain-Generalizable Multiple-Domain Clustering
This work generalizes the problem of unsupervised domain generalization to the case in which no labeled samples are available (completely unsupervised).
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