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Found 5 papers, 2 papers with code
Scalable Framework For Deep Learning based CSI Feedback
Deep learning (DL) based channel state information (CSI) feedback in multiple-input multiple-output (MIMO) systems recently has attracted lots of attention from both academia and industrial.
Measuring and Improving Compositional Generalization in Text-to-SQL via Component Alignment
To deal with this problem, we modify a number of state-of-the-art models to train on the segmented data of Spider-SS, and we show that this method improves the generalization performance.
Towards Robustness of Text-to-SQL Models against Synonym Substitution
We observe that the accuracy dramatically drops by eliminating such explicit correspondence between NL questions and table schemas, even if the synonyms are not adversarially selected to conduct worst-case adversarial attacks.
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