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Found 5 papers, 1 papers with code
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
We evaluate LR-BPFL across a variety of datasets, demonstrating its advantages in terms of calibration, accuracy, as well as computational and memory requirements.
MARIO Eval: Evaluate Your Math LLM with your Math LLM--A mathematical dataset evaluation toolkit
Large language models (LLMs) have been explored in a variety of reasoning tasks including solving of mathematical problems.
How to Generate Popular Post Headlines on Social Media?
Observation results demonstrate that trends and personal styles are widespread in headlines on social medias and have significant contribution to posts's popularity.
Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics
The recent development of scalable Bayesian inference methods has renewed interest in the adoption of Bayesian learning as an alternative to conventional frequentist learning that offers improved model calibration via uncertainty quantification.
I4U System Description for NIST SRE'20 CTS Challenge
This manuscript describes the I4U submission to the 2020 NIST Speaker Recognition Evaluation (SRE'20) Conversational Telephone Speech (CTS) Challenge.
