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Characterizing the patterns of errors that a system makes helps researchers focus future development on increasing its accuracy and robustness. We pro...

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Rule-based decision models are attractive due to their interpretability. However, existing rule induction methods often results in long and consequent...

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Finding similar objects in a collection of high dimensional data through a distance function is a pervasive task in computer science and many related ...

Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies Many approximations to RTRL have been proposed (Tallec & Ollivier,2017a;Mujika et

Convergence of Invariant Graph Networks Table 1: Linear equivariant maps for R n!R nand R [0;1]2 !R 2. 1 is a all-one vector of size n 1 and I u=vis the indicator function. Operat

We identify properties of universal adversarial perturbations (UAPs) that distinguish them from standard adversarial perturbations. Specifically, we s...