Insung Kong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
2
Active years
2022–2025
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Tensor Product Neural Networks for Functional ANOVA Model. | Seokhun Park, Insung Kong, Yongchan Choi, Chanmoo Park, Yongdai Kim |
| 2023 | ICCV | Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation. | Dongyoon Yang, Insung Kong, Yongdai Kim |
| 2023 | ICML | Covariate balancing using the integral probability metric for causal inference. | Insung Kong, Yuha Park, Joonhyuk Jung, Kwonsang Lee, Yongdai Kim |
| 2023 | ICML | Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference. | Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Gyuseung Baek, Yongdai Kim |
| 2023 | ICML | Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples. | Dongyoon Yang, Insung Kong, Yongdai Kim |
| 2022 | ICML | Learning fair representation with a parametric integral probability metric. | Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim |