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08/07/2023
Exploring Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning
Multiple-choice questions (MCQs) are ubiquitous in almost all levels of ...
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06/26/2023
Knowledge Graph-Augmented Korean Generative Commonsense Reasoning
Generative commonsense reasoning refers to the task of generating accept...
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06/09/2023
Differentially Private Sharpness-Aware Training
Training deep learning models with differential privacy (DP) results in ...
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05/11/2023
A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing
In this paper, we take a preliminary step towards solving the problem of...
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05/10/2023
Unraveling the MEV Enigma: ABI-Free Detection Model using Graph Neural Networks
The detection of Maximal Extractable Value (MEV) in blockchain is crucia...
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04/27/2023
Improving the Utility of Differentially Private Clustering through Dynamical Processing
This study aims to alleviate the trade-off between utility and privacy i...
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03/13/2023
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
We study convergence lower bounds of without-replacement stochastic grad...
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02/10/2023
Neural Networks vs. Splines: Advances in Numerical Extruder Design
We present a novel application of neural networks to design improved mix...
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01/16/2023
Stability Analysis of Sharpness-Aware Minimization
Sharpness-aware minimization (SAM) is a recently proposed training metho...
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10/05/2022
Towards Semi-automatic Detection and Localization of Indoor Accessibility Issues using Mobile Depth Scanning and Computer Vision
To help improve the safety and accessibility of indoor spaces, researche...
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06/18/2022
Comment on Transferability and Input Transformation with Additive Noise
Adversarial attacks have verified the existence of the vulnerability of ...
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08/25/2021
Bridged Adversarial Training
Adversarial robustness is considered as a required property of deep neur...
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07/06/2021
GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization
Deep learning is vulnerable to adversarial examples. Many defenses based...
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10/05/2020
