Abstract: We develop a transductive meta-learning method that uses unlabelled instances to improve few-shot image classification performance. Our approach combines a regularized ...
Abstract: Mitigating adversarial deep learning attacks remains challenging, partly because of the ease and low cost in carrying out such attacks. Therefore, in this article, we focus on the ...
This technique gives multilingual students explicit instruction on how to effectively develop their ideas for each part of a ...
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