Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

To further test the robustness of the model against background interference, we propose an ImageNet background interference test set, ImageNet-Bg, based on the ImageNet validation set with 48,285 ...

Abstract: Applications of Large Language Models (LLM) for source code analysis and related tasks arising during the development of an industrial static analyzer are becoming increasingly relevant due ...

Large language models (LLMs) have enabled the creation of multi-modal LLMs that exhibit strong comprehension of visual data such as images and videos. However, these models usually rely on extensive ...

New users can take advantage of the top NFL DFS promotions and odds boosts from sites like Underdog Fantasy, Sleeper, Betr, Pick6, Boom, ParlayPlay, Dabble and Playsqor on Saturday, Jan. 10, as the ...