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Discriminative Label Consistent Domain Adaptation [PDF]

open access: yesarXiv, 2018
Domain adaptation (DA) is transfer learning which aims to learn an effective predictor on target data from source data despite data distribution mismatch between source and target. We present in this paper a novel unsupervised DA method for cross-domain visual recognition which simultaneously optimizes the three terms of a theoretically established ...
arxiv  

GADT: Enhancing Transferable Adversarial Attacks through Gradient-guided Adversarial Data Transformation [PDF]

open access: yesarXiv
Current Transferable Adversarial Examples (TAE) are primarily generated by adding Adversarial Noise (AN). Recent studies emphasize the importance of optimizing Data Augmentation (DA) parameters along with AN, which poses a greater threat to real-world AI applications. However, existing DA-based strategies often struggle to find optimal solutions due to
arxiv  

AL-QASIDA: Analyzing LLM Quality and Accuracy Systematically in Dialectal Arabic [PDF]

open access: yesarXiv
Dialectal Arabic (DA) varieties are under-served by language technologies, particularly large language models (LLMs). This trend threatens to exacerbate existing social inequalities and limits LLM applications, yet the research community lacks operationalized performance measurements in DA.
arxiv  

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