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Found 2 papers, 1 papers with code
The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding
In this work, we propose the use of bilingual intermediate pretraining as a reliable technique to derive large and consistent performance gains on three different NLP tasks using code-switched text.
A Compressed Sensing Approach to Pooled RT-PCR Testing for COVID-19 Detection
Tapestry combines ideas from compressed sensing and combinatorial group testing with a novel noise model for RT-PCR used for generation of synthetic data.
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