Abstract: In this paper, we propose an effective person re-identification method with latent variables, which represents a pedestrian as the mixture of a holistic model and a number of flexible models ...

Furthermore, we propose marginalization approximation algorithms to optimize VAE-related models by weighting the “more important” latent variables selected and accordingly increasing evidence lower ...

Tokenizers for embedding models are not often implemented in languages other than Python. This becomes a major obstacle when trying to use embedding models in languages like C# or Java. Developers ...

An elastic net model was applied to the training set for both composite end points and and best candidate variables underwent a best subsets logistic regression to compute the area under the curve for ...

Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent ...