4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2023
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual Learning
Pengyuan Lu, Michele Caprio, Eric Eaton +1
Like generic multi-task learning, continual learning has the nature of multi-objective optimization, and therefore faces a trade-off between the performance of different tasks. Tha…
stat.ML2023
A Novel Bayes' Theorem for Upper Probabilities
Michele Caprio, Yusuf Sale, Eyke Hüllermeier +1
In their seminal 1990 paper, Wasserman and Kadane establish an upper bound for the Bayes' posterior probability of a measurable set , when the prior lies in a class of probabili…
cs.LG2023★ 4 cited
Using Semantic Information for Defining and Detecting OOD Inputs
Ramneet Kaur, Xiayan Ji, Souradeep Dutta +5
As machine learning models continue to achieve impressive performance across different tasks, the importance of effective anomaly detection for such models has increased as well. I…