no code implementations • 30 Oct 2023 • Ziyu Gong, Ben Usman, Han Zhao, David I. Inouye
Distribution alignment can be used to learn invariant representations with applications in fairness and robustness.
1 code implementation • 24 May 2023 • Ziyu Gong, Xiong Zhao, Chen Yang
This paper aims to detect the potential injury risk of the anterior cruciate ligament (ACL) by proposing an ACL potential injury risk assessment algorithm based on key points of the human body detected using computer vision technology.
1 code implementation • 5 Jul 2022 • Wonwoong Cho, Ziyu Gong, David I. Inouye
Unsupervised distribution alignment estimates a transformation that maps two or more source distributions to a shared aligned distribution given only samples from each distribution.
no code implementations • ICML Workshop INNF 2021 • Wonwoong Cho, Ziyu Gong, David I. Inouye
Unsupervised dataset alignment estimates a transformation that maps two or more source domains to a shared aligned domain given only the domain datasets.
no code implementations • 15 Apr 2021 • Zeyu Zhou, Ziyu Gong, Pradeep Ravikumar, David I. Inouye
Existing flow-based approaches estimate multiple flows independently, which is equivalent to learning multiple full generative models.