2 papers
cs.LG2025
Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
Shuai Feng, Yuxin Ge, Yuntao Du +3
Out-of-distribution (OOD) detection is crucial for deploying robust machine learning models. However, when training data follows a long-tailed distribution, the model's ability to…
cs.CV2022
READ: Aggregating Reconstruction Error into Out-of-distribution Detection
Wenyu Jiang, Yuxin Ge, Hao Cheng +3
Detecting out-of-distribution (OOD) samples is crucial to the safe deployment of a classifier in the real world. However, deep neural networks are known to be overconfident for abn…