computer-vision-1
Image Deep Networks
3260 papers • 126 benchmarks • 313 datasets
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Most implemented papers
Stochastic regularized majorization-minimization with weakly convex and multi-convex surrogates
Hanbaek Lyu•Tue Jan 04 2022
The first convergence rate bounds for various optimization methods under general nonconvex dependent data setting: Double-averaging projected gradient descent and its generalizations, proximal point empirical risk minimization, and online matrix/tensor decomposition algorithms are obtained.
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