70 citations · 123 across the 17 of their papers we have counts for
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cs.LG2021
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation
Dennis Ulmer, Christian Hardmeier, Jes Frellsen
Popular approaches for quantifying predictive uncertainty in deep neural networks often involve distributions over weights or multiple models, for instance via Markov Chain samplin…
cs.CL2021
Recoding latent sentence representations -- Dynamic gradient-based activation modification in RNNs
Dennis Ulmer
In Recurrent Neural Networks (RNNs), encoding information in a suboptimal or erroneous way can impact the quality of representations based on later elements in the sequence and sub…