Abstract: Program execution time often scales with input size, making performance prediction without execution valuable if the model is efficient and scalable. While machine learning has been used for ...
Abstract: This paper proposes Evolutionary Multi-objective Optimization (EMO)-based Adversarial Example (AE) design method that performs under black-box setting. Previous gradient-based methods ...
It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...
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