38 citations · 38 across the 1 of their papers we have counts for
3 papers
stat.ML2023
Reparameterized Variational Rejection Sampling
Martin Jankowiak, Du Phan
Traditional approaches to variational inference rely on parametric families of variational distributions, with the choice of family playing a critical role in determining the accur…
cs.CL2023★ 1 cited
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study
Polina Zablotskaia, Du Phan, Joshua Maynez +3
Modern deep models for summarization attains impressive benchmark performance, but they are prone to generating miscalibrated predictive uncertainty. This means that they assign hi…
cs.LG2022★ 38 cited
Plex: Towards Reliability using Pretrained Large Model Extensions
Dustin Tran, Jeremiah Liu, Michael W. Dusenberry +23
A recent trend in artificial intelligence is the use of pretrained models for language and vision tasks, which have achieved extraordinary performance but also puzzling failures. P…