Search Results for author:
Found 2 papers, 0 papers with code
Update Frequently, Update Fast: Retraining Semantic Parsing Systems in a Fraction of Time
To reduce training time, one can fine-tune the previously trained model on each patch, but naive fine-tuning exhibits catastrophic forgetting - degradation of the model performance on the data not represented in the data patch.
Modeling Scalability of Distributed Machine Learning
It is implemented in a distributed fashion in order to address these scalability issues.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
