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pro vyhledávání: '"Lee, Sang Wan"'
The brain prepares for learning even before interacting with the environment, by refining and optimizing its structures through spontaneous neural activity that resembles random noise. However, the mechanism of such a process has yet to be thoroughly
Externí odkaz:
http://arxiv.org/abs/2405.16731
The evolution of diffusion models has greatly impacted video generation and understanding. Particularly, text-to-video diffusion models (VDMs) have significantly facilitated the customization of input video with target appearance, motion, etc. Despit
Externí odkaz:
http://arxiv.org/abs/2403.15249
Despite the remarkable performance of text-to-image diffusion models in image generation tasks, recent studies have raised the issue that generated images sometimes cannot capture the intended semantic contents of the text prompts, which phenomenon i
Externí odkaz:
http://arxiv.org/abs/2306.09869
Neural networks are often biased to spuriously correlated features that provide misleading statistical evidence that does not generalize. This raises an interesting question: ``Does an optimal unbiased functional subnetwork exist in a severely biased
Externí odkaz:
http://arxiv.org/abs/2210.05247
Spurious correlations can cause strong biases in deep neural networks, impairing generalization ability. While most existing debiasing methods require full supervision on either spurious attributes or target labels, training a debiased model from a l
Externí odkaz:
http://arxiv.org/abs/2210.05248
Knowledge tracing and dropout prediction are crucial for online education to estimate students' knowledge states or to prevent dropout rates. While traditional systems interacting with students suffered from data sparsity and overfitting, recent samp
Externí odkaz:
http://arxiv.org/abs/2210.09012
Human ecological success relies on our characteristic ability to flexibly self-organize into cooperative social groups, the most successful of which employ substantial specialization and division of labor. Unlike most other animals, humans learn by t
Externí odkaz:
http://arxiv.org/abs/2208.05568
Publikováno v:
PLoS Comput Biol 18(2): e1009882 (2022)
Social learning, copying other's behavior without actual experience, offers a cost-effective means of knowledge acquisition. However, it raises the fundamental question of which individuals have reliable information: successful individuals versus the
Externí odkaz:
http://arxiv.org/abs/2106.10015
Autor:
Park, Geon Yeong, Lee, Sang Wan
While multi-step adversarial training is widely popular as an effective defense method against strong adversarial attacks, its computational cost is notoriously expensive, compared to standard training. Several single-step adversarial training method
Externí odkaz:
http://arxiv.org/abs/2104.01575
Autor:
Park, Geon Yeong, Lee, Sang Wan
Adversarial learning strategy has demonstrated remarkable performance in dealing with single-source Domain Adaptation (DA) problems, and it has recently been applied to Multi-source DA (MDA) problems. Although most existing MDA strategies rely on a m
Externí odkaz:
http://arxiv.org/abs/2104.01568