Insung Kong

According to our database, Insung Kong authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Posterior concentrations of fully-connected Bayesian neural networks with general priors on the weights.

Insung Kong, Yongdai Kim

CoRR, 2024

2023

Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples.

Dongyoon Yang, Insung Kong, Yongdai Kim

Proceedings of the International Conference on Machine Learning, 2023

Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference.

Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Gyuseung Baek, Yongdai Kim

Proceedings of the International Conference on Machine Learning, 2023

Covariate balancing using the integral probability metric for causal inference.

Insung Kong, Yuha Park, Joonhyuk Jung, Kwonsang Lee, Yongdai Kim

Proceedings of the International Conference on Machine Learning, 2023

Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation.

Dongyoon Yang, Insung Kong, Yongdai Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Adaptive Regularization for Adversarial Training.

Dongyoon Yang, Insung Kong, Yongdai Kim

CoRR, 2022

Learning fair representation with a parametric integral probability metric.

Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim

Proceedings of the International Conference on Machine Learning, 2022