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Found 4 papers, 1 papers with code
CODA: Temporal Domain Generalization via Concept Drift Simulator
In real-world applications, machine learning models often become obsolete due to shifts in the joint distribution arising from underlying temporal trends, a phenomenon known as the "concept drift".
Expanding, Retrieving and Infilling: Diversifying Cross-Domain Question Generation with Flexible Templates
Sequence-to-sequence based models have recently shown promising results in generating high-quality questions.
Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing
Compared to existing datasets, the queries in the dataset here are derived from the eligibility criteria of clinical trials and include \textit{Order-sensitive, Counting-based, and Boolean-type} cases which are not seen before.
CodNN -- Robust Neural Networks From Coded Classification
By our approach, either the data or internal layers of the DNN are coded with error correcting codes, and successful computation under noise is guaranteed.
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