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Found 5 papers, 2 papers with code
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
Subspace learning yields highly distinguishable distance measures between ID and OOD data.
Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey
But in parallel to the development of detection frameworks, researchers have also concentrated on designing strategies to elude detection, i. e., focusing on the impossibilities of AI-generated text detection.
Distributionally Robust Optimization with Probabilistic Group
Key to our framework, we consider soft group membership instead of hard group annotations.
Are Vision Transformers Robust to Spurious Correlations?
Deep neural networks may be susceptible to learning spurious correlations that hold on average but not in atypical test samples.
ReSCo-CC: Unsupervised Identification of Key Disinformation Sentences
Disinformation is often presented in long textual articles, especially when it relates to domains such as health, often seen in relation to COVID-19.
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