Towards Building A Group-based Unsupervised Representation Disentanglement Framework

20 February 2021

Papers citing "Towards Building A Group-based Unsupervised Representation Disentanglement Framework"

10 / 10 papers shown

Title
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks Zhangkai Wu Xuhui Fan Jin Li Zhilin Zhao Hui Chen LongBing Cao 44 2 0 24 May 2024
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder Heeseung Jung Jaehyoung Jeong Kangil Kim CoGe 26 0 0 17 Jan 2024
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 55 2 0 24 Aug 2023
Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization Tao Yang Yuwang Wang Cuiling Lan Yan Lu Nanning Zheng OCL CoGe DRL 24 7 0 29 May 2023
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 32 77 0 21 Nov 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Jindong Wang Xingxu Xie Masashi Sugiyama OOD 34 1 0 03 Aug 2022
Equivariant Representation Learning via Class-Pose Decomposition G. Marchetti Gustaf Tegnér Anastasiia Varava Danica Kragic DRL 29 14 0 07 Jul 2022
When are Post-hoc Conceptual Explanations Identifiable? Tobias Leemann Michael Kirchhof Yao Rong Enkelejda Kasneci Gjergji Kasneci 50 10 0 28 Jun 2022
A Flexible Diffusion Model Weitao Du Tao Yang Heidi Zhang Yuanqi Du DiffM 25 11 0 17 Jun 2022
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017