Papers with LearnRisk-TC

1 papers
Transfer Learning for Text Classification via Model Risk Analysis (2024.findings-emnlp)

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Challenge: Existing approaches to text classification are limited by distribution drift and misprediction risk.
Approach: They propose a model risk analysis approach to adapt a pre-trained DNN model to a new dataset given only a small set of representative data.
Outcome: The proposed model performs considerably better than existing approaches on real datasets.

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