Search Results for author:
Found 3 papers, 1 papers with code
Insuring Smiles: Predicting routine dental coverage using Spark ML
Finding suitable health insurance coverage can be challenging for individuals and small enterprises in the USA.
Federated Learning with Uncertainty via Distilled Predictive Distributions
In many situations, however, especially in limited data settings, it is beneficial to take into account the uncertainty in the model parameters at each client as it leads to more accurate predictions and also because reliable estimates of uncertainty can be used for tasks, such as out-of-distribution (OOD) detection, and sequential decision-making tasks, such as active learning.
Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness
Humor and Offense are highly subjective due to multiple word senses, cultural knowledge, and pragmatic competence.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
