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Found 6 papers, 1 papers with code
Anatomical Structure-Guided Medical Vision-Language Pre-training
For finding and existence, we regard them as image tags, applying an image-tag recognition decoder to associate image features with their respective tags within each sample and constructing soft labels for contrastive learning to improve the semantic association of different image-report pairs.
An Improved Online Penalty Parameter Selection Procedure for $\ell_1$-Penalized Autoregressive with Exogenous Variables
Many recent developments in the high-dimensional statistical time series literature have centered around time-dependent applications that can be adapted to regularized least squares.
On a Bernoulli Autoregression Framework for Link Discovery and Prediction
We show extensive empirical results on both actual product-usage based time dependent networks and also present results on a Reddit based data set of time dependent sentiment sequences.
Testing for Conditional Mean Independence with Covariates through Martingale Difference Divergence
As a crucial problem in statistics is to decide whether additional variables are needed in a regression model.
Rare Feature Selection in High Dimensions
It is common in modern prediction problems for many predictor variables to be counts of rarely occurring events.
Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations
The purpose of this paper is to provide a side-by-side comparison of these two frameworks for HSM in terms of their statistical properties and computational efficiency.
