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Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Prediction
We propose a novel supervised learning approach for political ideology prediction (PIP) that is capable of predicting out-of-distribution inputs.
Salient Conditional Diffusion for Defending Against Backdoor Attacks
We propose a novel algorithm, Salient Conditional Diffusion (Sancdifi), a state-of-the-art defense against backdoor attacks.
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