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Found 3 papers, 1 papers with code
Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning
We consider a generic min-max multi-objective bilevel optimization problem with applications in robust machine learning such as representation learning and hyperparameter optimization.
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
With the integrated framework, we achieve up to 6\% improvement on the standard accuracy and 17\% improvement on the robust accuracy.
Efficient Training of Robust and Verifiable Neural Networks
We propose that many common certified defenses can be viewed under a unified framework of regularization.
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