Insung Kong

According to our database1, Insung Kong authored at least 7 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Posterior concentrations of fully-connected Bayesian neural networks with general priors on the weights.
CoRR, 2024

2023
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples.
Proceedings of the International Conference on Machine Learning, 2023

Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference.
Proceedings of the International Conference on Machine Learning, 2023

Covariate balancing using the integral probability metric for causal inference.
Proceedings of the International Conference on Machine Learning, 2023

Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Adaptive Regularization for Adversarial Training.
CoRR, 2022

Learning fair representation with a parametric integral probability metric.
Proceedings of the International Conference on Machine Learning, 2022


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