Co-occurring keywords · papers mentioning both
training data contamination
(1)
model-agnostic framework
(1)
contaminated training data
(1)
sample proportion estimation
(1)
wasserstein distributionally robust optimization
(1)
dual coreset
(1)
sampling algorithm
(1)
open-set recognition
(1)
out-of-distribution detection
(1)
distributionally robust optimization
(1)
Papers
Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data
CVPR 2025
Coresets for Wasserstein Distributionally Robust Optimization Problems
NeurIPS 2022