Oceania
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense Kalpesh Krishna Yixiao Song Marzena Karpinska John Wieting Mohit Iyyer
API, looking for sequences that match the candidate text within a certain threshold.
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
This procedure is repeated in alternating optimization fashion.
Regularizing Neural Networks with Meta-Learning Generative Models Shin'ya Yamaguchi
Generative data augmentation leverages the synthetic samples produced by generative models as an additional dataset for classification with small dataset settings. A key challenge of generative data augmentation is that the synthetic data contain uninformative samples that degrade accuracy.
p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison
Adjusted Mutual Information, are type II biased.