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07/21/2023
Epsilon*: Privacy Metric for Machine Learning Models
We introduce Epsilon*, a new privacy metric for measuring the privacy ri...
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10/17/2022
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results
This paper introduces the methods and the results of AIM 2022 challenge ...
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09/26/2022
EasyRec: An easy-to-use, extendable and efficient framework for building industrial recommendation systems
We present EasyRec, an easy-to-use, extendable and efficient recommendat...
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04/21/2022
Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach
Collecting paired training data is difficult in practice, but the unpair...
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06/29/2021
Cross-domain error minimization for unsupervised domain adaptation
Unsupervised domain adaptation aims to transfer knowledge from a labeled...
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11/29/2020
GitHub-OSS Fixit: Fixing bugs at scale in a Software Engineering Course
Many studies have shown the benefits of introducing open-source projects...
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03/26/2020
Unsupervised domain adaptation with exploring more statistics and discriminative information
Unsupervised domain adaptation aims at transferring knowledge from the l...
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01/01/2020
