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Found 2 papers, 1 papers with code
Adversarial Reprogramming Revisited
Adversarial reprogramming, introduced by Elsayed, Goodfellow, and Sohl-Dickstein, seeks to repurpose a neural network to perform a different task, by manipulating its input without modifying its weights.
Human-like Relational Models for Activity Recognition in Video
We apply the method to a challenging subset of the something-something dataset and achieve a more robust performance against neural network baselines on challenging activities.
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