Deep generative models

Outlier detection

Synthetic data generation & Data privacy

Semi-supervised learning

(Oral) S.Cho, J.Hwang, G.Bak, and D.Kim. (2025) "ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect". The 39th AAAI Conference on Artificial Intelligence (AAAI 2025). 

D.Kim, J.Hwang, J.Lee, K.Kim and Y.Kim. (2024) "ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models". The 41st International Conference on Machine Learning (ICML 2024).  

D.Kim, Y.Choi, K.Kim and Y.Kim. (2024) "IOFM: Using the Interpolation Technique on Over-fitted Models to Identify Clean-annotated Samples". The 38th AAAI Conference on Artificial Intelligence (AAAI 2024). 

D.Kim, K.Kim, I.Kong, I.Ohn, and Y.Kim. (2022) "Learning fair representation with a parametric integral probability metric". The 39th International Conference on Machine Learning (ICML 2022).