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Found 3 papers, 2 papers with code
Machine-Created Universal Language for Cross-lingual Transfer
There are two primary approaches to addressing cross-lingual transfer: multilingual pre-training, which implicitly aligns the hidden representations of various languages, and translate-test, which explicitly translates different languages into an intermediate language, such as English.
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
People usually believe that network pruning not only reduces the computational cost of deep networks, but also prevents overfitting by decreasing model capacity.
Can network pruning benefit deep learning under label noise?
Network pruning is a widely-used technique to reduce the computational cost of over-parameterized neural networks.
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