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Conference Aug 2026

XTrust Vision An Explanation-Guided Reliability Assessment Framework for Trustworthy Vision Transformers

ViTs (Vision Transformers) have been developed as many of the most popular architectures in contemporary computer vision. They harness self-attention strategies to capture long-range dependencies of images. This allows them to achieve learning of rich global contextual information that is very challenging to model with...

K.Jithendra, Macherla Dhana Lakshmi, S. Banu et al. · 0 citations
Conference Aug 2026

Efficient Posterior Approximation for Bayesian Neural Networks in Large-Scale Distributed Environments

Bayesian neural networks (BNNs) introduce a principled framework for uncertainty estimation through learning probability distributions with respect to model parameters. Still, current deep networks are not only unfeasible to perform exact Bayesian inference, but traditional posterior approximation methods also incur si...

J. S. Kumar, K. Chowdappa, R. R. Raju et al. · 0 citations

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