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Found 4 papers, 1 papers with code
PRSNet: A Masked Self-Supervised Learning Pedestrian Re-Identification Method
In recent years, self-supervised learning has attracted widespread academic debate and addressed many of the key issues of computer vision.
Distribution estimation and change-point estimation for time series via DNN-based GANs
The generative adversarial networks (GANs) have recently been applied to estimating the distribution of independent and identically distributed data, and have attracted a lot of research attention.
Bootstrap inference for panel data quantile regression
This paper develops bootstrap methods for practical statistical inference in panel data quantile regression models with fixed effects.
Bi-integrative analysis of two-dimensional heterogeneous panel data model
Heterogeneous panel data models that allow the coefficients to vary across individuals and/or change over time have received increasingly more attention in statistics and econometrics.
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