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cs.LG2020★ 1 cited
Proximal Mapping for Deep Regularization
Mao Li, Yingyi Ma, Xinhua Zhang
Underpinning the success of deep learning is effective regularizations that allow a variety of priors in data to be modeled. For example, robustness to adversarial perturbations, a…
cs.LG2020
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space
Yingyi Ma, Vignesh Ganapathiraman, Yaoliang Yu +1
Invariance (defined in a general sense) has been one of the most effective priors for representation learning. Direct factorization of parametric models is feasible only for a smal…