20 citations · 22 across the 11 of their papers we have counts for
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cs.LG2023★ 20 cited
When Meta-Learning Meets Online and Continual Learning: A Survey
Jaehyeon Son, Soochan Lee, Gunhee Kim
Over the past decade, deep neural networks have demonstrated significant success using the training scheme that involves mini-batch stochastic gradient descent on extensive dataset…
cs.CL2023
Can Language Models Laugh at YouTube Short-form Videos?
Dayoon Ko, Sangho Lee, Gunhee Kim
As short-form funny videos on social networks are gaining popularity, it becomes demanding for AI models to understand them for better communication with humans. Unfortunately, pre…
cs.LG2023★ 1 cited
Recasting Continual Learning as Sequence Modeling
Soochan Lee, Jaehyeon Son, Gunhee Kim
In this work, we aim to establish a strong connection between two significant bodies of machine learning research: continual learning and sequence modeling. That is, we propose to…