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On-the-fly Improving Performance of Deep Code Models via Input Denoising by Tian, Zhao, Chen, Junjie, Zhang, Xiangyu

“…Deep learning has been widely adopted to tackle various code-based tasks by building deep code models based on a large amount of code snippets. While these…”
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Personalization without user interruption: boosting activity recognition in new subjects using unlabeled data by Fallahzadeh, Ramin, Ghasemzadeh, Hassan

“… In this paper, we propose an uninformed cross-subject transfer learning algorithm that leverages the cross-user similarities by constructing a network-based feature-level representation of the data…”
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