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08/08/2023
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation
Adversarial robustness is a research area that has recently received a l...
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05/24/2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
Bayesian approaches for learning deep neural networks (BNN) have been re...
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05/23/2023
Covariate balancing using the integral probability metric for causal inference
Weighting methods in causal inference have been widely used to achieve a...
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06/07/2022
Adaptive Regularization for Adversarial Training
Adversarial training, which is to enhance robustness against adversarial...
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06/02/2022
Masked Bayesian Neural Networks : Computation and Optimality
As data size and computing power increase, the architectures of deep neu...
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02/07/2022