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Found 5 papers, 2 papers with code
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis
Despite the complicated formulation of DreamBooth and Diffusion-based text-to-image models, our methods effectively defend users from the malicious use of those models.
Stochastic Multiple Target Sampling Gradient Descent
Furthermore, when analysing its asymptotic properties, SVGD reduces exactly to a single-objective optimization problem and can be viewed as a probabilistic version of this single-objective optimization problem.
Stochastic geometry to generalize the Mondrian Process
This allows for precise comparisons between the Mondrian forest, the Mondrian kernel and the Laplace kernel in density estimation.
Does BLEU Score Work for Code Migration?
In this paper, we conducted an empirical study on BLEU score to (in)validate its suitability for the code migration task due to its inability to reflect the semantics of source code.
Recovering Variable Names for Minified Code with Usage Contexts
JSNeat follows a data-driven approach to recover names by searching for them in a large corpus of open-source JS code.
