4 citations · 10 across the 16 of their papers we have counts for
5 papers · 1 filter
CAdam: Context-Adaptive Moment Estimation for 3D Gaussian Densification in Generative Distillation
SeungJeh Chung, Geonho Park, Misong Kim +1
Adaptive densification is the engine of 3D Gaussian Splatting (3DGS). However, when transposed to the optimization-based Generative Distillation paradigm, this reconstruction-nativ…
Self-supervised debiasing using low rank regularization
Geon Yeong Park, Chanyong Jung, Sangmin Lee +2
Spurious correlations can cause strong biases in deep neural networks, impairing generalization ability. While most existing debiasing methods require full supervision on either sp…
Training Debiased Subnetworks with Contrastive Weight Pruning
Geon Yeong Park, Sangmin Lee, Sang Wan Lee +1
Neural networks are often biased to spuriously correlated features that provide misleading statistical evidence that does not generalize. This raises an interesting question: ``Doe…
Reliably fast adversarial training via latent adversarial perturbation
Geon Yeong Park, Sang Wan Lee
While multi-step adversarial training is widely popular as an effective defense method against strong adversarial attacks, its computational cost is notoriously expensive, compared…
Information-theoretic regularization for Multi-source Domain Adaptation
Geon Yeong Park, Sang Wan Lee
Adversarial learning strategy has demonstrated remarkable performance in dealing with single-source Domain Adaptation (DA) problems, and it has recently been applied to Multi-sourc…