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Found 3 papers, 1 papers with code
SSFD: Self-Supervised Feature Distance as an MR Image Reconstruction Quality Metric
Self-supervised learning (SSL) has become a popular pre-training tool due to its ability to capture generalizable and domain-specific feature representations of the underlying data for downstream tasks.
Balancing Covariates in Randomized Experiments with the Gram-Schmidt Walk Design
Asymptotically, the design perfectly balances all linear functions of a growing number of covariates with a diminishing reduction in robustness, effectively allowing experimenters to escape the compromise between balance and robustness in large samples.
Methodology Data Structures and Algorithms Statistics Theory Statistics Theory
A Batchwise Monotone Algorithm for Dictionary Learning
Unlike the state-of-the-art dictionary learning algorithms which impose sparsity constraints on a sample-by-sample basis, we instead treat the samples as a batch, and impose the sparsity constraint on the whole.
