factorization
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Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling Peter Halmos
We leverage these advantages to derive a new algorithm Factor Relaxation with Latent Coupling (FRLC), which uses coordinate mirror descent to compute the LC factorization.
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Amplified Banded Matrix Factorization A unified approach to private training
MF mechanism consistently performs at least as well as the best prior methods.
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FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors
We qualitatively and quantitatively analyze FFAM with multiple detectors on several datasets. Experimental results validate the high-quality visual explanations produced by FFAM.
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Adaptive Contextual Perception: How to Generalize to New Backgrounds and Ambiguous Objects
Motivated by our analysis results, we propose new data augmentation methods aimed at enhancing model generalization.
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