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Found 4 papers, 4 papers with code
DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation
The student is optimized to predict the output of the teacher after multiple decoding steps while the teacher follows the student via a slow-moving average.
Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data
Training datasets for semantic parsing are typically small due to the higher expertise required for annotation than most other NLP tasks.
Code Generation from Natural Language with Less Prior and More Monolingual Data
Training datasets for semantic parsing are typically small due to the higher expertise required for annotation than most other NLP tasks.
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Code Generation
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Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
We introduce Exemplar VAEs, a family of generative models that bridge the gap between parametric and non-parametric, exemplar based generative models.
