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Found 2 papers, 1 papers with code
Interpreting Vulnerabilities of Multi-Instance Learning to Adversarial Perturbations
Through simulations, we have also shown the effectiveness of the proposed algorithms to fool the state-of-the-art (SOTA) MIL methods.
Restricted Boltzmann Machines with Gaussian Visible Units Guided by Pairwise Constraints
To enhance the expression ability of traditional RBMs, in this paper, we propose pairwise constraints restricted Boltzmann machine with Gaussian visible units (pcGRBM) model, in which the learning procedure is guided by pairwise constraints and the process of encoding is conducted under these guidances.
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