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02/07/2023
DSAC: Low-Cost Rowhammer Mitigation Using In-DRAM Stochastic and Approximate Counting Algorithm
DRAM has scaled to achieve low cost per bit and this scaling has decreas...
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01/11/2023
ODIM: an efficient method to detect outliers via inlier-memorization effect of deep generative models
Identifying whether a given sample is an outlier or not is an important ...
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02/07/2022
Learning fair representation with a parametric integral probability metric
As they have a vital effect on social decision-making, AI algorithms sho...
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06/29/2021
INN: A Method Identifying Clean-annotated Samples via Consistency Effect in Deep Neural Networks
In many classification problems, collecting massive clean-annotated data...
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05/09/2021
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models
We investigate statistical properties of a likelihood approach to nonpar...
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12/04/2020
Kernel-convoluted Deep Neural Networks with Data Augmentation
The Mixup method (Zhang et al. 2018), which uses linearly interpolated d...
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09/15/2019
Understanding and Improving Virtual Adversarial Training
In semi-supervised learning, virtual adversarial training (VAT) approach...
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12/10/2018
Fast convergence rates of deep neural networks for classification
We derive the fast convergence rates of a deep neural network (DNN) clas...
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12/02/2018
