Performance of recently proposed tranfer learning techniques for Natural Language Processing (NLP) applications (FitLaM and USE) are compared on the Quora Duplicate Question Pair Prediction Challenge. The effect on performance by varying dataset size is also investigated.
Model/Training Set Size | 100 | 1000 | 10000 | 50000 | 100000 | All |
---|---|---|---|---|---|---|
ArCos USE | 0.537 |
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