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Found 4 papers, 2 papers with code
Gibbs-Based Information Criteria and the Over-Parameterized Regime
Double-descent refers to the unexpected drop in test loss of a learning algorithm beyond an interpolating threshold with over-parameterization, which is not predicted by information criteria in their classical forms due to the limitations in the standard asymptotic approach.
Style Variable and Irrelevant Learning for Generalizable Person Re-identification
In this paper, we first verify through an experiment that style factors are a vital part of domain bias.
Domain Generalization
Generalizable Person Re-identification
+1
Symmetric Network with Spatial Relationship Modeling for Natural Language-based Vehicle Retrieval
Natural language (NL) based vehicle retrieval aims to search specific vehicle given text description.
Elastic Net based Feature Ranking and Selection
After features are sorted according to their frequency, linear support vector machine performs the classification in an incremental manner.
