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Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning.

, , , , , , , and . CoRR, (2023)

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The pre-image problem in kernel methods., and . IEEE Trans. Neural Networks, 15 (6): 1517-1525 (2004)Use of bias term in projection pursuit learning improves approximation and convergence properties., and . IEEE Trans. Neural Networks, 7 (5): 1168-1183 (1996)Constructive algorithms for structure learning in feedforward neural networks for regression problems., and . IEEE Trans. Neural Networks, 8 (3): 630-645 (1997)Building Sparse Multiple-Kernel SVM Classifiers., , and . IEEE Trans. Neural Networks, 20 (5): 827-839 (2009)Machine Learning., , and . Handbook of Computational Intelligence, Springer, (2015)Searching to Exploit Memorization Effect in Learning with Noisy Labels., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 10789-10798. PMLR, (2020)Convex Multitask Learning with Flexible Task Clusters., and . ICML, icml.cc / Omnipress, (2012)Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data., and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5927-5935. PMLR, (2018)Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels., , , , , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 388-395. JMLR.org, (2013)Bayesian Support Vector Regression., and . AISTATS, Society for Artificial Intelligence and Statistics, (2001)