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Related Questions
- What are some notable active learning applications in image classification, such as selecting images for annotation based on their uncertainty or novelty?
- Can you give examples of active learning approaches in natural language processing, such as selecting sentences or documents for annotation based on their relevance or ambiguity?
- How can active learning be used in image classification to improve model performance by selecting the most informative images for annotation?
- What are some strategies for selecting queries in active learning for NLP tasks, such as selecting sentences that are likely to improve model performance or reduce uncertainty?
- Can you provide examples of active learning implementations in NLP tasks, such as sentiment analysis or language modeling?
- How can active learning be used to improve the accuracy of image classification models by selecting images that are representative of the underlying distribution?
- What are some active learning techniques used in NLP to handle out-of-vocabulary words or domain adaptation?
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