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cs.CL2024
Do not think about pink elephant!
Kyomin Hwang, Suyoung Kim, JunHoo Lee +1
Large Models (LMs) have heightened expectations for the potential of general AI as they are akin to human intelligence. This paper shows that recent large models such as Stable Dif…
cs.LG2024
Mitigating the Bias in the Model for Continual Test-Time Adaptation
Inseop Chung, Kyomin Hwang, Jayeon Yoo +1
Continual Test-Time Adaptation (CTA) is a challenging task that aims to adapt a source pre-trained model to continually changing target domains. In the CTA setting, a model does no…
cs.LG2024
Deep Support Vectors
Junhoo Lee, Hyunho Lee, Kyomin Hwang +1
Deep learning has achieved tremendous success. However, unlike SVMs, which provide direct decision criteria and can be trained with a small dataset, it still has significant weakne…