3 papers
cs.LG2025
CLEAR: Unlearning Spurious Style-Content Associations with Contrastive LEarning with Anti-contrastive Regularization
Minghui Sun, Benjamin A. Goldstein, Matthew M. Engelhard
Learning representations unaffected by superficial characteristics is important to ensure that shifts in these characteristics at test time do not compromise downstream prediction…
stat.ML2025
Infinite hierarchical contrastive clustering for personal digital envirotyping
Ya-Yun Huang, Joseph McClernon, Jason A. Oliver +1
Daily environments have profound influence on our health and behavior. Recent work has shown that digital envirotyping, where computer vision is applied to images of daily environm…
stat.ML2023
Improving Event Time Prediction by Learning to Partition the Event Time Space
Jimmy Hickey, Ricardo Henao, Daniel Wojdyla +2
Recently developed survival analysis methods improve upon existing approaches by predicting the probability of event occurrence in each of a number pre-specified (discrete) time in…