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Found 2 papers, 1 papers with code
Impact of representation matching with neural machine translation
Most neural machine translation models are implemented as a conditional language model framework composed of encoder and decoder models.
Learning from Matured Dumb Teacher for Fine Generalization
The flexibility of decision boundaries in neural networks that are unguided by training data is a well-known problem typically resolved with generalization methods.
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