1 code implementation • CVPR 2023 • Changdae Oh, Hyeji Hwang, Hee-young Lee, Yongtaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song
In this work, we propose black-box visual prompting (BlackVIP), which efficiently adapts the PTMs without knowledge about model architectures and parameters.
1 code implementation • ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2022 • Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song
We provide a new type of contrastive loss motivated by Gaussian and Student-t kernels for distributional contrastive learning with theoretical analysis.
1 code implementation • 23 May 2021 • SeungHwan An, Hosik Choi, Jong-June Jeon
To improve the performance of our VAE in a classification task without the loss of performance as a generative model, we employ a new semi-supervised classification method called SCI (Soft-label Consistency Interpolation).
no code implementations • 21 Dec 2018 • Jong-June Jeon, Yongdai Kim, Sungho Won, Hosik Choi
To reflect these characteristics, a specific regularized regression model with linear constraints is commonly used.