Search Results for author:
Found 4 papers, 2 papers with code
How do Minimum-Norm Shallow Denoisers Look in Function Space?
Neural network (NN) denoisers are an essential building block in many common tasks, ranging from image reconstruction to image generation.
Why Cold Posteriors? On the Suboptimal Generalization of Optimal Bayes Estimates
Recent works have shown that the predictive accuracy of Bayesian deep learning models exhibit substantial improvements when the posterior is raised to a 1/T power with T<1.
Task Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point Updates
The optimal Bayesian solution for this requires an intractable online Bayes update to the weights posterior.
Task Agnostic Continual Learning Using Online Variational Bayes
However, research for scenarios in which task boundaries are unknown during training has been lacking.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
