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cs.LG2026
Deep Barycentric Regression for Optimal Transport Map Estimation and its Statistical Optimality
Kunwoong Kim, Insung Kong, Yongdai Kim
The optimal transport (OT) map provides a geometric transformation for aligning probability distributions and has become a useful tool in machine learning. However, existing estima…
cs.LG2026
A Composite Activation Function for Learning Stable Binary Representations
Seokhun Park, Choeun Kim, Kwanho Lee +3
Activation functions play a central role in neural networks by shaping internal representations. Recently, learning binary activation representations has attracted significant atte…
cs.LG2023
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation
Dongyoon Yang, Insung Kong, Yongdai Kim
Adversarial robustness is a research area that has recently received a lot of attention in the quest for trustworthy artificial intelligence. However, recent works on adversarial r…