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cs.LG2026
AOE: Exhaustive Out-of-Distribution Detection via Recalibrating Outlier Labels
Fengqiang Wan, Qing-Yuan Jiang, Fu Shen +1
Out-of-distribution (OOD) detection is essential for deploying machine learning models in open-world and safety-critical scenarios, where test inputs may deviate from the training…
cs.LG2025
Rebalanced Multimodal Learning with Data-aware Unimodal Sampling
Qingyuan Jiang, Zhouyang Chi, Xiao Ma +3
To address the modality learning degeneration caused by modality imbalance, existing multimodal learning~(MML) approaches primarily attempt to balance the optimization process of e…