4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Out-of-Distribution Detection Methods Answer the Wrong Questions
Yucen Lily Li, Daohan Lu, Polina Kirichenko +4
To detect distribution shifts and improve model safety, many out-of-distribution (OOD) detection methods rely on the predictive uncertainty or features of supervised models trained…
cs.LG2015★ 4 cited
Learning Fast-Mixing Models for Structured Prediction
Jacob Steinhardt, Percy Liang
Markov Chain Monte Carlo (MCMC) algorithms are often used for approximate inference inside learning, but their slow mixing can be difficult to diagnose and the approximations can s…