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Found 4 papers, 2 papers with code
Reinforcement Learning for Few-Shot Text Generation Adaptation
Controlling the generative model to adapt a new domain with limited samples is a difficult challenge and it is receiving increasing attention.
CatVRNN: Generating Category Texts via Multi-task Learning
Controlling the model to generate texts of different categories is a challenging task that is receiving increasing attention.
A systematic review of fuzzing based on machine learning techniques
Next, this paper assesses the performance of the machine learning models based on the frequently used evaluation metrics.
Domain Transfer Multi-Instance Dictionary Learning
We assume we already have a well-trained multi-instance dictionary and its corresponding classifier from the source domain, which can be used to represent and classify the bags.
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